R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- array(list(77.5
+ ,77.5
+ ,77.7
+ ,77.7
+ ,81
+ ,134.7
+ ,80.7
+ ,75.5
+ ,77.3
+ ,77.7
+ ,74.5
+ ,75.5
+ ,74.7
+ ,75.5
+ ,78.4
+ ,76.3
+ ,76.3
+ ,67.3
+ ,75.3
+ ,106.1
+ ,111
+ ,109.6
+ ,125.7
+ ,147.6
+ ,72.8
+ ,83.4
+ ,91.3
+ ,88
+ ,85.2
+ ,98
+ ,89.3
+ ,71.2
+ ,51.5
+ ,90.9
+ ,85.5
+ ,80.6
+ ,59.2
+ ,67.5
+ ,80
+ ,81.4
+ ,84.8
+ ,101.6
+ ,74.1
+ ,64.6
+ ,61.8
+ ,58.5
+ ,92.5
+ ,89.4
+ ,84.8
+ ,71
+ ,98
+ ,98
+ ,96.9
+ ,79.2
+ ,91
+ ,71.8
+ ,84.2
+ ,70.3
+ ,71.7
+ ,91.6
+ ,79.6
+ ,76.3
+ ,70.6
+ ,97.2
+ ,83.8
+ ,83.8
+ ,84.5
+ ,84.5
+ ,87
+ ,124
+ ,86.7
+ ,83.3
+ ,83.7
+ ,84.5
+ ,83.7
+ ,83.9
+ ,83
+ ,83.2
+ ,79.3
+ ,78.5
+ ,78.6
+ ,75.2
+ ,83.6
+ ,112.7
+ ,121.9
+ ,120
+ ,153.8
+ ,181.9
+ ,80.8
+ ,88.5
+ ,98.8
+ ,91.8
+ ,85.9
+ ,90.1
+ ,91
+ ,72.5
+ ,52.3
+ ,95.5
+ ,97.1
+ ,98.6
+ ,79.8
+ ,86.3
+ ,94
+ ,80.3
+ ,87.2
+ ,113.4
+ ,89.8
+ ,77.6
+ ,74.9
+ ,67.7
+ ,112.9
+ ,104.7
+ ,93.5
+ ,74.9
+ ,89.9
+ ,89.9
+ ,91.5
+ ,101.6
+ ,128.2
+ ,95.9
+ ,103
+ ,83
+ ,75.1
+ ,107.9
+ ,89.4
+ ,86.9
+ ,73.3
+ ,89.5
+ ,94.6
+ ,94.6
+ ,95.7
+ ,95.7
+ ,96.7
+ ,109.2
+ ,96.6
+ ,94.5
+ ,94.5
+ ,95.7
+ ,95.3
+ ,95.7
+ ,94.1
+ ,94.5
+ ,84.3
+ ,85.5
+ ,85.6
+ ,91.1
+ ,91.2
+ ,123.2
+ ,127.1
+ ,125.4
+ ,134.9
+ ,179.8
+ ,92.9
+ ,98.9
+ ,107.3
+ ,101.4
+ ,96.5
+ ,105.5
+ ,101.1
+ ,80.1
+ ,57.3
+ ,108.6
+ ,111.4
+ ,114
+ ,92.9
+ ,98.3
+ ,103.2
+ ,107.9
+ ,109.1
+ ,122.2
+ ,105
+ ,94
+ ,88.9
+ ,65.2
+ ,120.8
+ ,118.7
+ ,115.5
+ ,82.5
+ ,96.3
+ ,96.3
+ ,97.6
+ ,114.9
+ ,140.3
+ ,106.5
+ ,114.4
+ ,97.5
+ ,81.5
+ ,122.6
+ ,102.3
+ ,100.2
+ ,79.3
+ ,98.1
+ ,83.5
+ ,83.5
+ ,83.8
+ ,83.8
+ ,91
+ ,84.8
+ ,91.1
+ ,83.3
+ ,83.4
+ ,83.8
+ ,82.7
+ ,83.6
+ ,82.5
+ ,83.3
+ ,81.2
+ ,81.7
+ ,81.7
+ ,83.7
+ ,85.2
+ ,101.7
+ ,102.1
+ ,100.6
+ ,95.3
+ ,145.4
+ ,77.2
+ ,86
+ ,93
+ ,89.8
+ ,87.1
+ ,104
+ ,92.9
+ ,72.5
+ ,50.7
+ ,93
+ ,96.8
+ ,100.4
+ ,74.2
+ ,82
+ ,92.8
+ ,98.4
+ ,97.1
+ ,102.2
+ ,88.9
+ ,80.3
+ ,77.2
+ ,69.9
+ ,97.7
+ ,95.7
+ ,92.6
+ ,85.6
+ ,85
+ ,85
+ ,96.4
+ ,94.5
+ ,113.4
+ ,86.5
+ ,93.5
+ ,86.1
+ ,73.4
+ ,95.6
+ ,88.3
+ ,87.1
+ ,72.1
+ ,90.4
+ ,91.7
+ ,91.7
+ ,91.8
+ ,91.8
+ ,108.8
+ ,159.7
+ ,108.5
+ ,92.8
+ ,91.7
+ ,91.8
+ ,93.2
+ ,93
+ ,93
+ ,92.7
+ ,88.4
+ ,91.5
+ ,91.7
+ ,105
+ ,100
+ ,118.7
+ ,116.7
+ ,114.9
+ ,96.6
+ ,174.8
+ ,91.6
+ ,96.6
+ ,106.3
+ ,98.6
+ ,92.2
+ ,87.1
+ ,99.4
+ ,76.9
+ ,53
+ ,103.2
+ ,113
+ ,122.1
+ ,95.9
+ ,102.5
+ ,109.7
+ ,100.4
+ ,101.4
+ ,113.2
+ ,105.6
+ ,81.3
+ ,79.3
+ ,72
+ ,110.4
+ ,108.1
+ ,104.7
+ ,90
+ ,80
+ ,80
+ ,96.6
+ ,117.1
+ ,137.4
+ ,113.2
+ ,114.3
+ ,93.6
+ ,80.4
+ ,108.5
+ ,102.5
+ ,99.2
+ ,78.8
+ ,82.8
+ ,88.9
+ ,88.9
+ ,89.1
+ ,89.1
+ ,101.1
+ ,144.9
+ ,100.9
+ ,89.8
+ ,88.7
+ ,89.1
+ ,90.2
+ ,90.2
+ ,89.9
+ ,89.8
+ ,83.1
+ ,87.3
+ ,87.4
+ ,106.2
+ ,89.8
+ ,107.1
+ ,107.7
+ ,106
+ ,100.5
+ ,158.9
+ ,87.5
+ ,91.7
+ ,98.8
+ ,93.5
+ ,89
+ ,89.8
+ ,94.7
+ ,76.4
+ ,56.3
+ ,97.7
+ ,104.6
+ ,110.9
+ ,82.4
+ ,90.9
+ ,102.5
+ ,142.1
+ ,131.5
+ ,115.3
+ ,102.9
+ ,73
+ ,71.5
+ ,62.6
+ ,108.1
+ ,104
+ ,98
+ ,89.4
+ ,76.9
+ ,76.9
+ ,103.2
+ ,104.9
+ ,122.6
+ ,101.3
+ ,102.4
+ ,93
+ ,79.3
+ ,106.1
+ ,96.8
+ ,95.1
+ ,77.8
+ ,82.1
+ ,74.9
+ ,74.9
+ ,74.4
+ ,74.4
+ ,76.9
+ ,93.9
+ ,76.8
+ ,74.8
+ ,74.7
+ ,74.4
+ ,73.1
+ ,74.2
+ ,73.8
+ ,74.8
+ ,76.6
+ ,78.8
+ ,79.1
+ ,88.5
+ ,88.9
+ ,93.6
+ ,97.4
+ ,95.9
+ ,106.2
+ ,143.5
+ ,61.5
+ ,69.1
+ ,87.7
+ ,72.3
+ ,59.4
+ ,100.2
+ ,90
+ ,68.2
+ ,45.3
+ ,81
+ ,80.3
+ ,79.7
+ ,67.9
+ ,69.1
+ ,67.4
+ ,109.6
+ ,101.1
+ ,87.4
+ ,76.2
+ ,63.8
+ ,60.2
+ ,56.1
+ ,68
+ ,78.2
+ ,91.4
+ ,114
+ ,74.9
+ ,74.9
+ ,92.5
+ ,45.7
+ ,40.6
+ ,39.6
+ ,51.3
+ ,68
+ ,66.6
+ ,74.5
+ ,82.2
+ ,77.4
+ ,66.1
+ ,82.6
+ ,81.3
+ ,81.3
+ ,80.8
+ ,80.8
+ ,107.1
+ ,147.4
+ ,106.8
+ ,81.6
+ ,81.2
+ ,80.8
+ ,80.1
+ ,81.1
+ ,80.8
+ ,81.5
+ ,82.6
+ ,85.8
+ ,85.8
+ ,100.1
+ ,85.6
+ ,77.5
+ ,92.6
+ ,90.9
+ ,153.4
+ ,154
+ ,72.2
+ ,80.2
+ ,86.2
+ ,83.6
+ ,81.3
+ ,104.3
+ ,89.7
+ ,68
+ ,45.1
+ ,82.4
+ ,91.1
+ ,99.1
+ ,78.6
+ ,82.5
+ ,85.5
+ ,168.1
+ ,145.5
+ ,98.7
+ ,70.1
+ ,52.8
+ ,56.2
+ ,88.4
+ ,87.9
+ ,80.7
+ ,70.7
+ ,82.3
+ ,76.7
+ ,76.7
+ ,94.1
+ ,106.2
+ ,126.5
+ ,103.7
+ ,102.2
+ ,77
+ ,71.3
+ ,83.7
+ ,90
+ ,85.5
+ ,70.5
+ ,85
+ ,92
+ ,92
+ ,92.9
+ ,92.9
+ ,98.2
+ ,149
+ ,97.9
+ ,92.8
+ ,92
+ ,92.9
+ ,93.3
+ ,93.9
+ ,92.3
+ ,92.8
+ ,84.4
+ ,85.5
+ ,85.4
+ ,90.3
+ ,83.2
+ ,117.2
+ ,121.7
+ ,119.9
+ ,132.1
+ ,174.4
+ ,84.1
+ ,92.2
+ ,97.2
+ ,95.6
+ ,94.3
+ ,106.8
+ ,92.5
+ ,77.8
+ ,60.9
+ ,97.7
+ ,103.6
+ ,109
+ ,91.3
+ ,96.2
+ ,100.4
+ ,188.5
+ ,165
+ ,117.3
+ ,90.5
+ ,67.8
+ ,66
+ ,85.5
+ ,113
+ ,103.9
+ ,91.6
+ ,84.1
+ ,83.4
+ ,83.4
+ ,97.5
+ ,112.9
+ ,134.5
+ ,108.9
+ ,109.2
+ ,89.2
+ ,82
+ ,109
+ ,101.8
+ ,97.4
+ ,80.5
+ ,90.2
+ ,92.7
+ ,92.7
+ ,92.7
+ ,92.7
+ ,98.4
+ ,149.3
+ ,98
+ ,92.8
+ ,92.7
+ ,92.7
+ ,91.8
+ ,92.8
+ ,91.9
+ ,92.8
+ ,94.6
+ ,92.8
+ ,92.9
+ ,85.3
+ ,97.1
+ ,124.5
+ ,123.7
+ ,122.2
+ ,110.9
+ ,162.7
+ ,90.9
+ ,96.3
+ ,100.9
+ ,98.5
+ ,96.5
+ ,116.5
+ ,92.9
+ ,71.5
+ ,48.8
+ ,100.5
+ ,106.2
+ ,111.4
+ ,95.5
+ ,99.8
+ ,102.7
+ ,155.9
+ ,142.9
+ ,121.2
+ ,94.4
+ ,70.9
+ ,68.8
+ ,73.1
+ ,114.1
+ ,107.4
+ ,98.2
+ ,94.5
+ ,91.9
+ ,91.9
+ ,98
+ ,113.2
+ ,130.9
+ ,107.6
+ ,112.6
+ ,88.9
+ ,79.8
+ ,109.9
+ ,102.7
+ ,97.9
+ ,78.1
+ ,98.2
+ ,92
+ ,92
+ ,92.3
+ ,92.3
+ ,98
+ ,123.7
+ ,97.8
+ ,91.7
+ ,92
+ ,92.3
+ ,91.1
+ ,92
+ ,90.9
+ ,91.7
+ ,91.8
+ ,90
+ ,89.8
+ ,81.9
+ ,85.8
+ ,120.8
+ ,117.4
+ ,116.2
+ ,94.3
+ ,140.3
+ ,85.4
+ ,91.6
+ ,95.8
+ ,94.1
+ ,92.7
+ ,111.6
+ ,91.4
+ ,76.2
+ ,58.9
+ ,96.2
+ ,98.7
+ ,100.9
+ ,87.7
+ ,94.1
+ ,101.2
+ ,142.1
+ ,132.5
+ ,118.7
+ ,93.1
+ ,85.1
+ ,81.5
+ ,76.9
+ ,108.5
+ ,104.4
+ ,98.5
+ ,90.8
+ ,96.3
+ ,96.3
+ ,92.2
+ ,102.4
+ ,119.1
+ ,97
+ ,101.7
+ ,94.2
+ ,82.2
+ ,106.1
+ ,96.6
+ ,95.3
+ ,80.8
+ ,99.3
+ ,84.7
+ ,84.7
+ ,84.5
+ ,84.5
+ ,83.2
+ ,99.7
+ ,83.1
+ ,83.5
+ ,84.6
+ ,84.5
+ ,81.8
+ ,83.1
+ ,82.4
+ ,83.5
+ ,89.3
+ ,87
+ ,86.8
+ ,77.2
+ ,80.9
+ ,97
+ ,97.2
+ ,96.1
+ ,91.7
+ ,118.9
+ ,69.5
+ ,83.9
+ ,85
+ ,90
+ ,94.2
+ ,113.2
+ ,88.1
+ ,72.3
+ ,54.7
+ ,78.8
+ ,79.8
+ ,80.8
+ ,53.4
+ ,70.3
+ ,99.3
+ ,159.9
+ ,143.3
+ ,112.1
+ ,91.3
+ ,75
+ ,76.6
+ ,58.2
+ ,96.7
+ ,90.7
+ ,82.4
+ ,110.1
+ ,97.4
+ ,97.4
+ ,99.9
+ ,83.3
+ ,99
+ ,76.7
+ ,83.9
+ ,99.7
+ ,77.4
+ ,96.2
+ ,79.2
+ ,85
+ ,76.3
+ ,101.1
+ ,92.7
+ ,92.7
+ ,93.7
+ ,93.7
+ ,75.6
+ ,140.2
+ ,75.2
+ ,92.7
+ ,92.6
+ ,93.7
+ ,92.8
+ ,93.7
+ ,91.8
+ ,92.8
+ ,87.7
+ ,86
+ ,85.8
+ ,78.6
+ ,81.3
+ ,115.1
+ ,120.9
+ ,119.6
+ ,138.6
+ ,155.5
+ ,79
+ ,92.3
+ ,102.1
+ ,97.9
+ ,94.4
+ ,115.1
+ ,95.8
+ ,78.8
+ ,59.7
+ ,95.4
+ ,91
+ ,86.9
+ ,91
+ ,94.3
+ ,98.2
+ ,167.6
+ ,141.8
+ ,102.9
+ ,93.1
+ ,98.6
+ ,93
+ ,69.4
+ ,100.6
+ ,96.3
+ ,90.1
+ ,83.3
+ ,93.5
+ ,93.5
+ ,97
+ ,86.7
+ ,91.2
+ ,76.9
+ ,93.5
+ ,100.5
+ ,80.6
+ ,97.1
+ ,96.5
+ ,97.4
+ ,79.5
+ ,98.8
+ ,90.6
+ ,90.6
+ ,91.9
+ ,91.9
+ ,85.2
+ ,129.3
+ ,85
+ ,91.2
+ ,90.6
+ ,91.9
+ ,92.5
+ ,92.7
+ ,91
+ ,91.3
+ ,83.1
+ ,81.6
+ ,81.6
+ ,75.1
+ ,83.2
+ ,112.9
+ ,122
+ ,120.8
+ ,154.3
+ ,157.2
+ ,82.3
+ ,88.7
+ ,96.9
+ ,91.5
+ ,86.9
+ ,98.3
+ ,93.4
+ ,82.2
+ ,68.1
+ ,90.7
+ ,91.9
+ ,93.1
+ ,84
+ ,88.1
+ ,93.1
+ ,146
+ ,130.7
+ ,108.8
+ ,95.1
+ ,103.1
+ ,95.4
+ ,85.1
+ ,107.2
+ ,100.6
+ ,91.1
+ ,87.9
+ ,85.5
+ ,85.5
+ ,89.9
+ ,99.1
+ ,110.7
+ ,91.7
+ ,100.3
+ ,99
+ ,82.5
+ ,102.8
+ ,93.8
+ ,95.2
+ ,81.3
+ ,88.7
+ ,98.5
+ ,98.5
+ ,99.3
+ ,99.3
+ ,102
+ ,134.2
+ ,101.8
+ ,99.6
+ ,98.5
+ ,99.3
+ ,101
+ ,100.6
+ ,99.9
+ ,99.5
+ ,93.6
+ ,93
+ ,92.8
+ ,90.3
+ ,90.7
+ ,122.7
+ ,129.6
+ ,127.9
+ ,149.8
+ ,177.7
+ ,92.7
+ ,100.8
+ ,108.1
+ ,104.2
+ ,101
+ ,92.8
+ ,101.2
+ ,86.3
+ ,68.7
+ ,99.7
+ ,103.8
+ ,107.6
+ ,90.3
+ ,97
+ ,105.2
+ ,130.9
+ ,125.1
+ ,118.6
+ ,110.6
+ ,118.3
+ ,109.8
+ ,77.9
+ ,119.7
+ ,114.4
+ ,106.8
+ ,106.8
+ ,88.4
+ ,88.4
+ ,102.5
+ ,108.2
+ ,117.1
+ ,101.7
+ ,109.7
+ ,115.1
+ ,89.5
+ ,118.6
+ ,100.5
+ ,105
+ ,87.8
+ ,90.3
+ ,86.9
+ ,86.9
+ ,87.1
+ ,87.1
+ ,95.3
+ ,127.4
+ ,95.2
+ ,87.7
+ ,86.8
+ ,87.1
+ ,87.9
+ ,88
+ ,87.6
+ ,87.6
+ ,85.1
+ ,85.7
+ ,85.8
+ ,88.5
+ ,88.4
+ ,106.9
+ ,106.6
+ ,105.4
+ ,99.2
+ ,140.1
+ ,84.4
+ ,89.4
+ ,95.4
+ ,91.4
+ ,88.1
+ ,90.7
+ ,92
+ ,80.2
+ ,65.6
+ ,88.5
+ ,93
+ ,97.2
+ ,81
+ ,87.1
+ ,94.6
+ ,98.2
+ ,97.7
+ ,99.2
+ ,98
+ ,86.1
+ ,82.2
+ ,59.9
+ ,103.2
+ ,95.7
+ ,84.9
+ ,88.4
+ ,78.8
+ ,78.8
+ ,95.6
+ ,94
+ ,101.7
+ ,87.7
+ ,94.4
+ ,93.1
+ ,81.3
+ ,97.3
+ ,90
+ ,90.6
+ ,80.3
+ ,82.9
+ ,93.6
+ ,93.6
+ ,93.4
+ ,93.4
+ ,100.3
+ ,127.5
+ ,100.1
+ ,95.4
+ ,93.5
+ ,93.4
+ ,94.6
+ ,95.5
+ ,94.6
+ ,95.3
+ ,90.8
+ ,94.8
+ ,94.8
+ ,112.5
+ ,94.1
+ ,115
+ ,113.3
+ ,111.7
+ ,97.7
+ ,161.1
+ ,89.8
+ ,94
+ ,99.9
+ ,95.7
+ ,92.3
+ ,116.7
+ ,98.6
+ ,82.5
+ ,64
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+ ,107.5
+ ,115.4
+ ,87.9
+ ,94.9
+ ,103.5
+ ,97.5
+ ,98.4
+ ,102.2
+ ,109.5
+ ,93.9
+ ,90.1
+ ,80.3
+ ,108.8
+ ,118.8
+ ,133.3
+ ,88.6
+ ,75.4
+ ,75.4
+ ,97.8
+ ,110.9
+ ,120.9
+ ,105.9
+ ,108.3
+ ,103.1
+ ,87
+ ,121.6
+ ,96.4
+ ,98.3
+ ,85
+ ,87.4
+ ,96.4
+ ,96.4
+ ,96.9
+ ,96.9
+ ,89.1
+ ,123
+ ,88.9
+ ,98.4
+ ,96.2
+ ,96.9
+ ,99.2
+ ,99.3
+ ,98.2
+ ,98.5
+ ,90.5
+ ,92.5
+ ,92.4
+ ,101.1
+ ,92
+ ,114.9
+ ,115
+ ,113.5
+ ,107.7
+ ,159.5
+ ,96.8
+ ,96.4
+ ,100.7
+ ,96.2
+ ,92.4
+ ,104.6
+ ,95.3
+ ,88.7
+ ,78.4
+ ,97.6
+ ,109.4
+ ,120.2
+ ,86.4
+ ,95.5
+ ,106.7
+ ,134.9
+ ,123.9
+ ,108.8
+ ,106.8
+ ,97.7
+ ,97.8
+ ,86.7
+ ,115.8
+ ,110.3
+ ,102.3
+ ,114.2
+ ,75.2
+ ,75.2
+ ,105
+ ,111.6
+ ,121.1
+ ,107.2
+ ,108.6
+ ,110
+ ,91.7
+ ,114.4
+ ,97.6
+ ,101.3
+ ,90.3
+ ,84.8
+ ,79.7
+ ,79.7
+ ,78.1
+ ,78.1
+ ,71.8
+ ,78.4
+ ,71.7
+ ,80.1
+ ,79.5
+ ,78.1
+ ,77.2
+ ,78.4
+ ,79.1
+ ,80.1
+ ,86.1
+ ,91.2
+ ,91.2
+ ,114
+ ,92
+ ,103.1
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+ ,103.1
+ ,91.8
+ ,91.8
+ ,98.5
+ ,121
+ ,120.6
+ ,133.7
+ ,116.9
+ ,122.9
+ ,110.4
+ ,121.1
+ ,103.9
+ ,109.8
+ ,109.5
+ ,96.3
+ ,97.8
+ ,97.8
+ ,95.1
+ ,95.1
+ ,119.3
+ ,119.9
+ ,97.9
+ ,97.8
+ ,95.1
+ ,93.9
+ ,94.7
+ ,97.3
+ ,97.7
+ ,117.5
+ ,117.3
+ ,118.4
+ ,115.2
+ ,146.8
+ ,71.3
+ ,68.2
+ ,66.5
+ ,49.6
+ ,112.4
+ ,95.3
+ ,87.9
+ ,102.9
+ ,84.8
+ ,69
+ ,109.4
+ ,96.8
+ ,113.5
+ ,140.6
+ ,94.7
+ ,84.1
+ ,75
+ ,91.8
+ ,87.4
+ ,80.7
+ ,75.3
+ ,80.2
+ ,81.6
+ ,120.6
+ ,57.6
+ ,70.9
+ ,75.1
+ ,82.6
+ ,94.5
+ ,93.4
+ ,94.3
+ ,94.3
+ ,94.7
+ ,63.3
+ ,51.1
+ ,68.9
+ ,66.1
+ ,84.3
+ ,108.3
+ ,83.7
+ ,94.8
+ ,92.1
+ ,110.2
+ ,99
+ ,100.8
+ ,100.8
+ ,97.9
+ ,97.9
+ ,96.1
+ ,96.2
+ ,100.6
+ ,100.7
+ ,97.9
+ ,96.2
+ ,97.2
+ ,99.9
+ ,100.6
+ ,119.9
+ ,121.8
+ ,122.3
+ ,127.5
+ ,134.6
+ ,55.3
+ ,59.4
+ ,58.2
+ ,63.2
+ ,88
+ ,93.2
+ ,94.8
+ ,107.8
+ ,94.9
+ ,83.4
+ ,113.8
+ ,89.2
+ ,114.3
+ ,163.1
+ ,92.6
+ ,91.5
+ ,90.2
+ ,82.3
+ ,85.4
+ ,87.4
+ ,69.5
+ ,74.3
+ ,75.8
+ ,111.7
+ ,81.4
+ ,96.3
+ ,92.2
+ ,94.6
+ ,97.4
+ ,100.6
+ ,99
+ ,99
+ ,103.8
+ ,111.4
+ ,112.9
+ ,121.5
+ ,106.3
+ ,98.3
+ ,116.3
+ ,91.5
+ ,89.6
+ ,92.5
+ ,118.2
+ ,104)
+ ,dim=c(64
+ ,152)
+ ,dimnames=list(c('1'
+ ,'2'
+ ,'3'
+ ,'4'
+ ,'5'
+ ,'6'
+ ,'7'
+ ,'8'
+ ,'9'
+ ,'10'
+ ,'11'
+ ,'12'
+ ,'13'
+ ,'14'
+ ,'15'
+ ,'16'
+ ,'17'
+ ,'18'
+ ,'19'
+ ,'20'
+ ,'21'
+ ,'22'
+ ,'23'
+ ,'24'
+ ,'25'
+ ,'26'
+ ,'27'
+ ,'28'
+ ,'29'
+ ,'30'
+ ,'31'
+ ,'32'
+ ,'33'
+ ,'34'
+ ,'35'
+ ,'36'
+ ,'37'
+ ,'38'
+ ,'39'
+ ,'40'
+ ,'41'
+ ,'42'
+ ,'43'
+ ,'44'
+ ,'45'
+ ,'46'
+ ,'47'
+ ,'48'
+ ,'49'
+ ,'50'
+ ,'51'
+ ,'52'
+ ,'53'
+ ,'54'
+ ,'55'
+ ,'56'
+ ,'57'
+ ,'58'
+ ,'59'
+ ,'60'
+ ,'61'
+ ,'62'
+ ,'63'
+ ,'64
')
+ ,1:152))
>  y <- array(NA,dim=c(64,152),dimnames=list(c('1','2','3','4','5','6','7','8','9','10','11','12','13','14','15','16','17','18','19','20','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64
'),1:152))
>  for (i in 1:dim(x)[1])
+  {
+  	for (j in 1:dim(x)[2])
+  	{
+  		y[i,j] <- as.numeric(x[i,j])
+  	}
+  }
> par3 = 'No Linear Trend'
> par2 = 'Do not include Seasonal Dummies'
> par1 = '1'
> par3 <- 'No Linear Trend'
> par2 <- 'Do not include Seasonal Dummies'
> par1 <- '1'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> library(lattice)
> library(lmtest)
Loading required package: zoo

Attaching package: 'zoo'

The following object(s) are masked from 'package:base':

    as.Date, as.Date.numeric

> n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
> par1 <- as.numeric(par1)
> x <- t(y)
> k <- length(x[1,])
> n <- length(x[,1])
> x1 <- cbind(x[,par1], x[,1:k!=par1])
> mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
> colnames(x1) <- mycolnames #colnames(x)[par1]
> x <- x1
> if (par3 == 'First Differences'){
+ x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
+ for (i in 1:n-1) {
+ for (j in 1:k) {
+ x2[i,j] <- x[i+1,j] - x[i,j]
+ }
+ }
+ x <- x2
+ }
> if (par2 == 'Include Monthly Dummies'){
+ x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
+ for (i in 1:11){
+ x2[seq(i,n,12),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> if (par2 == 'Include Quarterly Dummies'){
+ x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
+ for (i in 1:3){
+ x2[seq(i,n,4),i] <- 1
+ }
+ x <- cbind(x, x2)
+ }
> k <- length(x[1,])
> if (par3 == 'Linear Trend'){
+ x <- cbind(x, c(1:n))
+ colnames(x)[k+1] <- 't'
+ }
> x
        1     2     3     4     5     6     7     8     9    10    11    12
1    77.5  77.5  77.7  77.7  81.0 134.7  80.7  75.5  77.3  77.7  74.5  75.5
2    83.8  83.8  84.5  84.5  87.0 124.0  86.7  83.3  83.7  84.5  83.7  83.9
3    94.6  94.6  95.7  95.7  96.7 109.2  96.6  94.5  94.5  95.7  95.3  95.7
4    83.5  83.5  83.8  83.8  91.0  84.8  91.1  83.3  83.4  83.8  82.7  83.6
5    91.7  91.7  91.8  91.8 108.8 159.7 108.5  92.8  91.7  91.8  93.2  93.0
6    88.9  88.9  89.1  89.1 101.1 144.9 100.9  89.8  88.7  89.1  90.2  90.2
7    74.9  74.9  74.4  74.4  76.9  93.9  76.8  74.8  74.7  74.4  73.1  74.2
8    81.3  81.3  80.8  80.8 107.1 147.4 106.8  81.6  81.2  80.8  80.1  81.1
9    92.0  92.0  92.9  92.9  98.2 149.0  97.9  92.8  92.0  92.9  93.3  93.9
10   92.7  92.7  92.7  92.7  98.4 149.3  98.0  92.8  92.7  92.7  91.8  92.8
11   92.0  92.0  92.3  92.3  98.0 123.7  97.8  91.7  92.0  92.3  91.1  92.0
12   84.7  84.7  84.5  84.5  83.2  99.7  83.1  83.5  84.6  84.5  81.8  83.1
13   92.7  92.7  93.7  93.7  75.6 140.2  75.2  92.7  92.6  93.7  92.8  93.7
14   90.6  90.6  91.9  91.9  85.2 129.3  85.0  91.2  90.6  91.9  92.5  92.7
15   98.5  98.5  99.3  99.3 102.0 134.2 101.8  99.6  98.5  99.3 101.0 100.6
16   86.9  86.9  87.1  87.1  95.3 127.4  95.2  87.7  86.8  87.1  87.9  88.0
17   93.6  93.6  93.4  93.4 100.3 127.5 100.1  95.4  93.5  93.4  94.6  95.5
18   96.4  96.4  96.9  96.9  89.1 123.0  88.9  98.4  96.2  96.9  99.2  99.3
19   79.7  79.7  78.1  78.1  71.8  78.4  71.7  80.1  79.5  78.1  77.2  78.4
20   83.7  83.7  82.1  82.1  94.9 117.7  94.7  84.3  83.5  82.1  81.2  82.6
21   91.2  91.2  91.2  91.2  99.8 123.2  99.7  92.4  91.1  91.2  91.5  92.6
22   97.3  97.3  96.6  96.6 106.6 141.6 106.4  98.1  97.3  96.6  96.8  97.5
23   92.3  92.3  91.8  91.8  86.2 123.2  86.0  92.1  92.2  91.8  90.5  91.6
24   81.4  81.4  80.2  80.2  83.3  91.8  83.3  80.0  81.2  80.2  76.6  78.4
25   89.5  89.5  89.5  89.5  87.5 113.9  87.3  88.7  89.4  89.5  87.2  88.5
26   87.2  87.2  87.4  87.4  88.5 110.8  88.3  87.4  87.2  87.4  87.0  87.6
27   95.4  95.4  95.7  95.7  83.7 114.0  83.5  96.0  95.3  95.7  95.7  96.4
28   93.0  93.0  93.1  93.1 116.7 116.6 116.7  94.3  93.0  93.1  93.6  94.6
29   91.1  91.1  90.8  90.8 114.0 106.7 114.0  92.1  91.0  90.8  90.5  91.9
30   92.4  92.4  92.6  92.6 116.1 113.8 116.2  93.7  92.4  92.6  92.8  94.1
31   83.4  83.4  82.2  82.2  87.8  87.6  87.8  83.5  83.3  82.2  80.6  82.1
32   81.5  81.5  80.2  80.2 101.9 102.4 101.9  81.0  81.3  80.2  77.5  79.5
33   95.1  95.1  95.2  95.2 105.1 116.8 105.0  96.4  95.0  95.2  95.5  96.6
34  100.6 100.6 100.3 100.3 113.7 119.4 113.7 101.6 100.5 100.3 100.5 101.5
35   91.7  91.7  91.6  91.6  94.4 101.8  94.3  91.6  91.7  91.6  89.7  91.5
36   84.9  84.9  83.3  83.3  77.5  85.6  77.5  83.9  84.7  83.3  80.2  82.0
37   92.6  92.6  92.5  92.5  70.1 118.4  69.7  91.7  92.5  92.5  90.0  91.3
38   90.5  90.5  90.5  90.5  94.9 112.5  94.8  90.4  90.4  90.5  89.9  90.4
39   97.1  97.1  97.4  97.4  91.4 114.3  91.2  98.0  97.1  97.4  97.2  98.4
40   94.6  94.6  94.2  94.2 107.1 116.2 107.1  95.5  94.5  94.2  94.0  95.2
41   89.8  89.8  89.5  89.5  93.0 108.2  92.9  90.5  89.7  89.5  88.8  90.2
42   95.8  95.8  95.8  95.8 106.1 104.4 106.1  97.2  95.8  95.8  96.5  97.4
43   87.9  87.9  86.7  86.7  95.1  72.9  95.3  88.0  87.7  86.7  84.9  86.6
44   81.1  81.1  79.8  79.8  93.0  89.8  93.1  79.9  80.9  79.8  76.5  78.2
45  100.8 100.8 101.2 101.2 107.4 109.6 107.3 102.0 100.8 101.2 102.1 102.6
46  103.3 103.3 103.0 103.0  97.5 111.0  97.3 104.3 103.3 103.0 103.3 104.1
47   92.0  92.0  91.8  91.8  96.8  95.2  96.8  92.1  91.9  91.8  91.1  92.0
48   96.1  96.1  95.8  95.8  81.1  90.0  81.0  95.8  96.1  95.8  94.2  95.4
49   90.2  90.2  90.2  90.2  80.6 101.5  80.5  89.1  90.1  90.2  87.6  88.9
50   91.7  91.7  92.2  92.2  93.4 102.3  93.3  92.2  91.7  92.2  92.0  92.8
51  105.7 105.7 105.9 105.9 107.2 109.3 107.2 107.5 105.8 105.9 107.8 107.9
52   98.0  98.0  98.0  98.0  87.8 101.7  87.7  99.6  97.9  98.0  99.2  99.9
53   91.4  91.4  91.1  91.1  85.1  85.7  85.1  92.1  91.3  91.1  90.8  91.8
54  106.2 106.2 106.5 106.5 105.6 107.4 105.6 108.9 106.3 106.5 109.4 109.6
55   89.8  89.8  89.2  89.2  90.1  65.9  90.3  89.8  89.7  89.2  87.6  89.1
56   89.2  89.2  88.4  88.4  93.3  88.3  93.4  89.5  89.1  88.4  87.2  88.6
57  105.6 105.6 105.8 105.8 111.7 112.6 111.7 107.6 105.7 105.8 108.1 108.2
58  104.0 104.0 104.1 104.1  98.9 110.1  98.8 105.6 104.1 104.1 105.4 105.9
59  100.3 100.3 100.1 100.1  90.3  97.5  90.3 100.9 100.2 100.1 100.5 100.7
60  102.5 102.5 102.2 102.2  82.9  85.4  82.8 102.8 102.6 102.2 101.9 102.5
61   96.5  96.5  96.9  96.9  80.6  97.0  80.5  96.1  96.5  96.9  96.1  96.5
62   95.0  95.0  96.0  96.0  91.7  97.5  91.7  94.7  95.0  96.0  95.8  95.8
63  106.5 106.5 107.3 107.3 104.6 111.7 104.6 107.3 106.6 107.3 108.3 108.3
64  102.1 102.1 102.7 102.7  92.8 104.8  92.7 102.9 102.2 102.7 103.1 103.6
65   96.3  96.3  96.2  96.2 104.4  92.0 104.5  96.1  96.2  96.2  96.2  95.9
66  108.4 108.4 108.8 108.8 112.5 113.0 112.5 109.8 108.4 108.8 111.9 110.5
67   87.0  87.0  86.5  86.5  83.3  59.2  83.5  85.3  86.9  86.5  84.3  84.5
68   90.7  90.7  89.3  89.3 106.3 106.5 106.3  90.0  90.6  89.3  87.6  88.4
69  107.9 107.9 108.0 108.0  98.2 119.3  98.0 109.2 108.0 108.0 109.9 109.6
70  101.2 101.2 100.9 100.9 103.2 106.5 103.2 101.3 101.2 100.9 100.7 101.0
71  104.7 104.7 104.2 104.2 116.2 105.0 116.3 104.8 104.7 104.2 104.7 104.3
72  103.7 103.7 103.2 103.2 106.2  87.6 106.4 102.5 103.7 103.2 101.4 101.7
73   99.3  99.3  99.5  99.5  92.1 114.2  91.9  97.7  99.3  99.5  97.5  97.7
74   99.6  99.6 100.7 100.7  93.4 110.7  93.3  98.9  99.6 100.7 100.4 100.1
75  113.9 113.9 114.9 114.9 105.7 131.2 105.5 114.9 114.1 114.9 117.0 116.2
76   97.2  97.2  97.1  97.1 103.8 109.2 103.8  97.5  97.2  97.1  97.1  97.5
77  106.2 106.2 106.1 106.1 115.1 107.0 115.2 107.3 106.2 106.1 107.3 107.4
78  110.7 110.7 111.3 111.3 116.5 106.4 116.6 112.3 110.7 111.3 113.7 113.2
79   89.6  89.6  88.2  88.2  90.6  59.4  90.9  88.5  89.3  88.2  86.0  86.8
80   93.3  93.3  91.7  91.7  90.2 104.7  90.1  92.9  93.1  91.7  90.0  91.0
81  107.6 107.6 107.9 107.9 112.5 116.7 112.4 108.9 107.8 107.9 109.9 109.3
82  111.7 111.7 111.6 111.6 115.8 127.2 115.7 112.4 111.9 111.6 113.0 112.4
83  106.9 106.9 106.7 106.7 109.6 109.7 109.6 107.3 107.0 106.7 109.7 107.1
84  102.6 102.6 102.6 102.6  98.1  84.8  98.3 101.7 102.6 102.6 102.5 101.6
85  105.8 105.8 106.2 106.2  95.4 120.6  95.2 105.0 105.9 106.2 105.6 105.3
86  103.7 103.7 104.9 104.9  93.6 110.6  93.5 103.3 103.8 104.9 104.8 104.6
87  115.8 115.8 116.7 116.7 100.3 126.9 100.1 116.6 115.9 116.7 118.8 117.7
88  103.8 103.8 104.1 104.1 107.6 116.0 107.5 103.6 103.7 104.1 105.2 103.9
89  108.2 108.2 108.5 108.5 118.6 104.9 118.7 108.9 108.2 108.5 110.5 109.4
90  115.5 115.5 116.5 116.5 121.9 105.3 122.0 117.0 115.7 116.5 119.8 118.3
91  100.5 100.5 100.1 100.1 100.3  77.9 100.5 100.9 100.5 100.1 100.4 100.5
92  101.1 101.1 100.4 100.4 126.3 108.3 126.4 101.0 101.1 100.4  99.5 100.2
93  108.6 108.6 109.1 109.1 115.7 111.7 115.7 109.8 108.7 109.1 110.8 110.4
94  119.5 119.5 119.8 119.8 120.3 125.2 120.3 121.0 119.8 119.8 122.0 121.5
95  113.6 113.6 113.7 113.7 114.1 108.3 114.1 114.1 113.8 113.7 114.4 114.2
96  105.9 105.9 105.9 105.9 101.0  78.0 101.2 105.5 105.9 105.9 105.2 105.4
97  112.3 112.3 112.4 112.4 111.6 117.3 111.6 112.5 112.4 112.4 113.0 112.6
98  112.7 112.7 113.7 113.7 138.3 111.2 138.6 113.9 112.9 113.7 116.3 115.3
99  113.4 113.4 114.2 114.2 117.0 106.5 117.1 115.3 113.5 114.2 117.4 116.6
100 117.3 117.3 117.6 117.6 121.6 116.0 121.7 120.4 117.6 117.6 122.2 121.1
101 109.4 109.4 109.3 109.3 102.6  98.9 102.6 111.1 109.4 109.3 112.2 111.2
102 117.8 117.8 118.8 118.8 126.9 107.9 127.1 120.1 118.0 118.8 123.6 121.7
103 105.6 105.6 104.6 104.6 106.7  78.6 106.9 106.1 105.7 104.6 105.4 105.0
104  96.3  96.3  95.0  95.0 114.0  92.6 114.2  96.0  96.3  95.0  93.8  94.4
105 117.3 117.3 117.4 117.4 120.4 115.3 120.4 119.4 117.5 117.4 121.3 119.9
106 116.4 116.4 115.7 115.7 116.3 102.7 116.4 117.4 116.6 115.7 117.4 116.7
107  99.2  99.2  97.8  97.8  95.1  86.4  95.2  98.6  99.2  97.8  97.2  97.0
108 100.8 100.8  98.6  98.6  86.7  76.7  86.8  99.6 100.8  98.6  97.0  97.0
109  90.4  90.4  88.8  88.8  73.9  97.8  73.6  87.4  90.2  88.8  84.6  85.1
110  92.1  92.1  90.9  90.9  87.8  97.5  87.7  90.8  92.1  90.9  89.2  89.1
111 101.8 101.8 100.4 100.4  84.6 110.2  84.3 101.2 101.8 100.4  99.9  99.5
112  93.7  93.7  91.2  91.2 100.9 105.3 100.8  93.2  93.6  91.2  90.2  90.3
113  96.0  96.0  94.6  94.6 105.2  92.5 105.3  95.2  95.8  94.6  93.1  93.4
114 102.0 102.0 100.0 100.0 114.7 101.3 114.8 102.0 102.0 100.0 100.2  99.7
115  89.2  89.2  86.0  86.0  95.3  62.1  95.6  87.0  89.1  86.0  83.0  83.0
116  89.0  89.0  86.6  86.6  96.0  91.1  96.0  86.3  88.9  86.6  82.3  83.0
117 105.9 105.9 104.4 104.4 116.4 100.3 116.6 105.1 106.0 104.4 103.9 103.3
118 105.2 105.2 103.4 103.4 113.1  96.9 113.3 104.2 105.2 103.4 102.8 102.0
119 100.2 100.2  98.6  98.6  90.1  79.7  90.2  99.2 100.2  98.6  97.4  97.2
120  97.5  97.5  95.2  95.2  74.9  71.8  75.0  95.1  97.4  95.2  91.7  92.1
121  95.4  95.4  94.5  94.5  70.1  99.3  69.9  92.5  95.2  94.5  90.5  91.1
122 100.6 100.6  99.9  99.9  79.1  81.9  79.1  99.1 100.6  99.9  98.8  98.1
123 114.0 114.0 112.8 112.8 111.7  98.0 111.8 113.5 114.2 112.8 113.3 112.0
124 105.1 105.1 103.7 103.7 106.3  85.4 106.5 104.7 105.1 103.7 103.1 103.0
125 101.5 101.5 100.4 100.4  93.2  74.6  93.4 100.4 101.4 100.4  99.2  99.1
126 115.5 115.5 114.5 114.5 131.9  94.6 132.2 116.3 115.6 114.5 116.2 115.2
127  95.5  95.5  93.5  93.5  96.4  72.1  96.6  94.1  95.4  93.5  91.3  91.6
128  96.5  96.5  94.7  94.7 119.0  93.7 119.2  94.9  96.5  94.7  92.1  92.5
129 114.6 114.6 114.2 114.2 116.9 100.1 117.0 115.1 114.8 114.2 115.5 114.6
130 110.4 110.4 109.4 109.4 116.4  96.4 116.6 110.1 110.5 109.4 109.6 108.9
131 109.0 109.0 107.8 107.8 107.1  87.9 107.3 108.4 109.0 107.8 107.3 106.9
132 104.8 104.8 103.2 103.2  69.4  74.0  69.3 103.7 104.7 103.2 101.6 101.8
133 103.9 103.9 103.1 103.1  83.8  77.6  83.8 102.8 104.0 103.1 101.2 101.6
134 107.4 107.4 107.3 107.3 104.4  82.8 104.6 107.7 107.6 107.3 108.5 107.6
135 124.8 124.8 124.7 124.7  95.9 105.2  95.8 126.5 125.0 124.7 128.5 126.6
136 108.1 108.1 107.1 107.1  87.5  84.8  87.5 108.6 108.2 107.1 107.4 107.5
137 115.9 115.9 114.9 114.9 120.2  90.8 120.5 117.1 116.0 114.9 116.6 116.0
138 111.2 111.2 110.4 110.4 113.4  84.7 113.7 112.2 111.2 110.4 111.7 111.4
139  95.6  95.6  94.0  94.0  91.5  54.6  91.8  94.7  95.6  94.0  91.8  92.6
140 103.3 103.3 101.5 101.5 117.3  91.5 117.5 102.8 103.4 101.5 100.0 100.6
141 117.7 117.7 116.7 116.7 112.7  85.1 112.9 119.0 118.0 116.7 118.5 117.9
142 110.5 110.5 108.9 108.9 111.8  87.2 112.0 110.6 110.6 108.9 109.3 108.9
143 109.2 109.2 107.3 107.3 108.1  84.9 108.3 109.1 109.3 107.3 106.9 106.9
144 105.8 105.8 103.9 103.9  92.3  72.2  92.5 105.2 105.8 103.9 102.2 103.0
145 103.8 103.8 102.5 102.5  94.3  94.4 103.3 103.9 102.5 100.9 101.7 102.7
146 102.1 102.1  84.5  84.4 103.5 103.1 102.1 102.6 102.3 103.9 103.7 113.8
147  97.1  97.1 116.9 115.4 113.5 116.0 115.1 117.7 117.0 130.4 126.8 127.1
148 101.2 100.8  99.2  99.5  99.3 101.5 101.2 112.8 112.2 113.0 108.6 133.3
149 102.8 102.5 102.9 105.3 105.4 119.4 121.0 121.4 125.8 130.6  74.1  66.4
150 108.1 110.6 110.3 117.5 122.3 123.8 138.7 165.7  76.1  69.1  67.9  41.2
151  97.7 117.5 117.3 118.4 115.2 146.8  71.3  68.2  66.5  49.6 112.4  95.3
152 121.8 122.3 127.5 134.6  55.3  59.4  58.2  63.2  88.0  93.2  94.8 107.8
       13    14    15    16    17    18    19    20    21    22    23    24
1    74.7  75.5  78.4  76.3  76.3  67.3  75.3 106.1 111.0 109.6 125.7 147.6
2    83.0  83.2  79.3  78.5  78.6  75.2  83.6 112.7 121.9 120.0 153.8 181.9
3    94.1  94.5  84.3  85.5  85.6  91.1  91.2 123.2 127.1 125.4 134.9 179.8
4    82.5  83.3  81.2  81.7  81.7  83.7  85.2 101.7 102.1 100.6  95.3 145.4
5    93.0  92.7  88.4  91.5  91.7 105.0 100.0 118.7 116.7 114.9  96.6 174.8
6    89.9  89.8  83.1  87.3  87.4 106.2  89.8 107.1 107.7 106.0 100.5 158.9
7    73.8  74.8  76.6  78.8  79.1  88.5  88.9  93.6  97.4  95.9 106.2 143.5
8    80.8  81.5  82.6  85.8  85.8 100.1  85.6  77.5  92.6  90.9 153.4 154.0
9    92.3  92.8  84.4  85.5  85.4  90.3  83.2 117.2 121.7 119.9 132.1 174.4
10   91.9  92.8  94.6  92.8  92.9  85.3  97.1 124.5 123.7 122.2 110.9 162.7
11   90.9  91.7  91.8  90.0  89.8  81.9  85.8 120.8 117.4 116.2  94.3 140.3
12   82.4  83.5  89.3  87.0  86.8  77.2  80.9  97.0  97.2  96.1  91.7 118.9
13   91.8  92.8  87.7  86.0  85.8  78.6  81.3 115.1 120.9 119.6 138.6 155.5
14   91.0  91.3  83.1  81.6  81.6  75.1  83.2 112.9 122.0 120.8 154.3 157.2
15   99.9  99.5  93.6  93.0  92.8  90.3  90.7 122.7 129.6 127.9 149.8 177.7
16   87.6  87.6  85.1  85.7  85.8  88.5  88.4 106.9 106.6 105.4  99.2 140.1
17   94.6  95.3  90.8  94.8  94.8 112.5  94.1 115.0 113.3 111.7  97.7 161.1
18   98.2  98.5  90.5  92.5  92.4 101.1  92.0 114.9 115.0 113.5 107.7 159.5
19   79.1  80.1  86.1  91.2  91.2 114.0  92.0 103.1 107.9 106.3 120.1 154.8
20   83.2  84.2  93.3  96.0  95.7 107.7  89.3  80.8  98.7  96.8 164.5 157.6
21   91.5  92.4  94.9  91.7  91.5  77.8  87.0 118.2 123.0 121.6 136.1 162.5
22   97.5  98.0 102.6 102.3 102.1 101.4  97.7 129.6 127.9 127.3 117.5 141.1
23   91.2  92.2  98.3  96.2  95.6  87.2  82.5 118.7 115.1 114.8  98.2 119.4
24   78.5  80.0  93.4  90.1  90.3  75.9  96.5  88.4  89.3  89.0  91.9  92.8
25   87.6  88.7  92.8  90.1  89.9  78.8  86.2 113.1 118.9 118.5 141.8 127.2
26   86.8  87.4  86.5  85.7  85.6  82.3  84.9 109.8 119.4 118.1 154.2 154.3
27   95.3  96.1  93.8  92.9  93.1  89.1 100.0 116.1 121.3 120.3 138.6 147.6
28   93.4  94.1  90.4  92.2  92.2 100.1  92.7 113.6 111.3 110.7  97.9 125.6
29   90.8  91.9  91.0  93.0  93.1 101.8  96.7 107.9 106.3 104.7  90.3 151.5
30   92.6  93.6  89.1  90.9  91.4  98.5 105.8 107.4 105.9 104.4  90.9 148.0
31   82.2  83.5  89.6  92.8  92.6 106.6  88.5 102.7 108.6 107.3 127.0 147.5
32   79.3  80.8  89.3  91.7  91.1 101.8  78.7  78.3  94.1  93.0 156.8 127.9
33   95.4  96.3  95.3  94.7  94.8  92.4  99.9 121.0 122.5 122.2 127.2 129.5
34  100.7 101.5 104.1 102.2 102.3  94.4 107.8 132.2 129.0 128.3 111.3 145.7
35   90.1  91.6  94.7  92.1  92.4  81.0 102.4 113.2 109.7 109.5  93.0 111.3
36   82.5  84.0  97.6  97.0  97.3  94.6 106.0  89.2  89.6  89.3  89.5  97.1
37   90.5  91.8  96.8  94.2  93.9  83.8  87.3 113.2 118.7 118.6 141.8 119.3
38   89.9  90.4  92.8  90.1  90.2  79.4  93.3 107.6 116.0 116.0 152.0 115.9
39   96.9  98.0  94.7  94.8  94.9  95.6  98.2 107.3 110.1 109.8 120.2 119.9
40   94.5  95.5  95.8  97.7  97.8 106.0 102.0 110.9 107.1 106.7  88.8 117.8
41   89.3  90.5  88.9  92.2  92.2 106.2  93.9  96.4  94.1  93.8  82.8 101.3
42   96.4  97.1  91.2  95.7  96.0 115.0 106.6 101.2  98.4  97.8  82.8 116.8
43   86.6  87.9  91.6  97.4  97.2 122.4  92.9  94.0 100.1  99.2 121.7 123.2
44   78.5  79.8  87.3  92.3  91.8 113.7  78.0  70.5  85.6  85.0 147.1 101.6
45  101.6 102.0  97.8  97.8  98.0  98.0 104.2 116.4 119.3 119.4 132.5 114.5
46  103.6 104.3 105.1 105.1 105.5 105.8 115.9 121.9 119.3 119.2 107.5 120.5
47   91.3  92.1  93.8  92.7  92.9  88.3  99.9 109.5 103.4 103.5  77.9 100.7
48   94.8  95.9  99.0  98.4  98.5  95.7 103.9  91.1  90.3  90.0  85.5  97.5
49   88.0  89.1  91.4  90.3  90.4  85.8  93.5 104.0 108.0 108.3 126.5 100.7
50   91.5  92.2  89.0  88.1  88.5  83.9 101.7 101.2 108.0 107.7 135.4 113.1
51  107.3 107.5 101.4 103.7 104.4 114.1 124.6 118.4 119.1 119.1 122.5 117.7
52   99.0  99.7  95.4  96.7  97.6 102.0 124.2 106.9 101.7 101.6  79.2 105.6
53   91.2  92.2  90.5  93.7  94.0 108.1 103.3  95.6  90.5  90.0  66.1 103.0
54  108.7 108.9  98.7 103.6 104.2 125.4 120.5 114.2 108.1 107.3  77.9 129.6
55   88.5  89.8  91.2  94.3  94.4 108.1  98.0  92.4  96.6  95.7 109.6 117.7
56   88.3  89.4  91.7  95.2  95.3 110.4 100.4  75.3  88.7  88.2 142.9 102.5
57  107.5 107.6 102.9 102.8 103.7 102.4 126.8 120.4 120.2 120.4 120.5 114.2
58  105.1 105.6 105.5 102.6 103.2  89.6 120.2 115.9 111.5 112.1  96.3  94.5
59  100.6 100.9 102.6 101.2 101.6  95.0 114.0 109.8 104.2 104.6  82.6  94.3
60  102.3 102.9 107.2 104.7 104.8  93.7 109.1  94.9  91.6  91.7  78.4  90.0
61   95.7  96.2  96.9  93.3  93.4  77.7  94.2  97.5  98.5  98.9 104.5  88.9
62   94.6  94.7  88.9  87.2  87.2  80.1  86.0 101.3 108.0 108.8 137.9  89.8
63  107.3 107.3  99.6 100.3 100.7 103.6 112.9 108.7 112.1 112.2 125.8 109.5
64  102.4 103.0  96.7  97.9  97.9 103.1  99.7 105.1  98.8  99.5  78.0  81.7
65   96.4  96.1  93.8  97.3  97.5 112.4 104.5  94.9  89.5  89.3  67.7  93.8
66  111.0 109.8 101.9 105.2 105.4 119.2 111.6 108.9 103.1 102.7  78.4 113.0
67   85.2  85.4  87.6  90.9  91.2 105.3  99.2  87.5  91.5  90.4 101.7 117.5
68   89.5  89.9 100.0 101.3 101.0 107.2  90.9  73.0  89.8  89.6 154.1  94.9
69  109.4 109.3 105.8 106.3 106.5 108.7 111.4 115.2 113.6 113.6 107.3 113.6
70  101.1 101.2 105.5 103.3 103.1  93.7  98.2 107.5 102.9 103.2  86.5  97.4
71  105.1 104.7 111.3 108.5 108.3  96.1 101.7 109.8 104.4 104.1  82.1 110.8
72  102.3 102.4 112.1 108.5 107.9  92.9  89.7  90.7  87.8  87.7  76.1  89.1
73   97.5  97.7 102.0  98.0  97.7  81.1  89.5  97.6 101.3 101.2 115.5 102.9
74   99.1  98.9  93.2  91.3  91.0  83.2  85.1  98.7 104.9 105.0 129.6 102.7
75  115.5 115.0 108.4 106.7 106.3  99.7  95.9 113.9 115.4 115.4 121.6 114.2
76   97.2  97.5  97.9  97.7  97.4  96.8  88.9  96.6  89.9  90.0  64.0  86.3
77  107.2 107.3 106.4 106.9 106.5 108.7  98.1 104.4  95.5  95.0  58.1 106.1
78  112.7 112.3 102.8 106.3 106.4 120.9 109.7 115.1 107.9 107.9  79.7 108.3
79   87.9  88.5  96.3  99.9  99.6 114.8  92.0  91.4  95.5  95.0 108.9 107.3
80   92.0  92.9 105.7 106.3 105.1 108.7  74.3  76.2  89.2  88.8 138.5  98.4
81  109.4 108.8 108.4 106.3 105.9  97.4  96.9 117.4 117.1 117.5 117.9 106.1
82  112.9 112.3 115.8 112.5 112.0  98.6 100.3 122.0 116.1 116.8  96.7  99.3
83  109.6 107.3 113.8 109.5 109.1  91.7  97.1 120.2 110.8 111.7  78.6  88.4
84  102.5 101.8 106.4 103.5 102.8  91.2  86.0  93.6  86.6  87.6  64.1  64.2
85  105.2 105.0 107.9 103.0 102.8  83.5  97.3 106.6 107.1 107.8 112.0  90.9
86  103.4 103.4  98.2  95.0  94.7  82.4  86.4 108.4 114.2 115.1 139.4  94.0
87  117.4 116.7 111.1 109.5 109.1 103.1  97.7 121.4 119.3 120.4 116.2  94.4
88  104.7 103.6  99.8 102.0 101.5 110.3  90.6 104.8  95.4  96.0  63.4  81.5
89  109.9 108.8 103.5 106.0 105.8 115.8  99.2 104.2  94.9  95.1  61.1  91.5
90  118.2 117.0 105.4 108.4 108.4 120.1 107.4 115.0 104.6 104.5  65.5 107.9
91  100.8 100.9 102.6 103.1 103.3 105.1 107.1  99.0  97.6  97.3  90.9 102.4
92  100.5 100.8 107.4 107.7 106.5 108.6  78.9  82.8  90.3  89.8 115.3 101.0
93  110.0 109.7 108.2 105.8 105.3  95.7  92.8 112.5 107.2 106.7  85.2 117.6
94  121.4 121.0 121.7 118.1 117.6 103.2 106.2 127.9 118.1 119.2  87.0  93.2
95  114.3 114.1 118.0 113.8 113.1  96.9  97.2 114.4 102.2 103.4  62.6  75.6
96  105.2 105.5 109.6 106.8 105.8  95.7  80.0  83.7  79.4  79.3  62.7  83.2
97  112.8 112.5 116.7 111.9 111.8  92.7 109.3 108.5 104.7 105.0  91.6  97.6
98  114.7 113.8 110.6 104.7 105.0  81.3 111.3 109.7 108.4 108.9 104.3  96.7
99  116.0 115.3 109.6 106.6 107.2  94.5 119.5 104.7 101.5 101.3  88.1 106.0
100 121.3 120.4 117.4 115.1 115.3 105.6 119.8 112.2 101.0 101.0  62.3  99.4
101 111.9 111.1 109.2 110.0 110.2 112.9 112.5  96.9  87.8  86.4  50.3 115.9
102 121.6 120.1 110.8 109.2 109.9 102.6 125.6 103.8  95.5  94.9  64.1 107.6
103 106.5 106.1 112.8 113.5 113.2 116.2 105.1  95.1  92.2  90.9  75.7 120.6
104  95.5  95.9 106.5 106.2 105.7 104.9  91.9  66.7  72.7  71.5  85.5  99.1
105 120.6 119.4 119.6 115.8 116.4 100.4 128.2 103.4  96.7  96.5  71.9 102.5
106 118.0 117.4 127.2 121.2 121.3  97.1 122.6 105.4  96.3  96.8  66.9  84.1
107  98.9  98.6 113.9 109.2 109.2  90.2 109.6  89.2  80.1  80.6  50.5  69.1
108  99.7  99.7 120.0 116.1 116.3 100.5 120.4  72.5  69.2  69.4  57.9  64.0
109  87.1  87.4 107.6 102.1 102.2  81.1 103.8  78.0  80.3  80.3  84.1  79.5
110  90.9  90.8 105.2 101.5 101.4  87.2  96.6  77.3  80.7  80.5  87.0  86.2
111 101.7 101.3 115.3 112.7 112.7 102.0 110.7  85.1  82.6  82.5  71.9  83.6
112  93.3  93.2 113.9 112.6 112.7 107.0 111.7  80.9  72.6  72.6  45.0  72.2
113  95.0  95.1 106.1 106.7 106.9 107.6 111.9  72.5  65.3  64.8  39.5  76.7
114 102.5 101.9 114.3 116.5 117.1 123.5 131.5  82.1  76.5  75.7  53.8  94.7
115  87.2  87.0 112.0 113.3 113.7 116.6 122.8  78.3  75.5  74.2  59.5 105.5
116  85.8  86.2 109.0 108.0 107.7 103.2  98.3  57.8  62.3  61.1  68.4  91.2
117 105.7 105.0 119.1 116.1 116.8 103.9 133.7  89.3  82.1  81.9  56.9  85.3
118 104.9 104.1 124.4 118.4 118.5  95.4 120.0  91.4  84.5  84.8  61.9  76.7
119  99.5  99.2 116.6 111.9 112.3  93.6 119.6  84.2  73.5  73.9  40.4  64.1
120  94.9  95.2 118.5 115.2 115.1 102.1 108.7  72.5  67.4  67.3  49.4  68.8
121  92.1  92.7 108.9 100.7 101.2  69.0 112.5  74.6  73.2  72.9  65.2  81.9
122  99.8  99.3 107.5 103.8 103.8  88.9 102.7  80.3  81.5  81.4  82.1  83.1
123 114.8 113.5 125.9 122.0 122.1 106.2 123.4  92.6  87.5  87.5  69.0  86.1
124 104.9 104.7 117.7 114.8 114.9 103.0 116.5  86.3  76.7  77.0  45.9  70.2
125 100.7 100.5 109.2 108.2 108.0 103.5 102.3  80.3  70.7  70.7  39.1  69.2
126 117.2 116.2 118.8 120.2 121.3 124.5 148.4  93.6  85.2  85.2  56.9  83.0
127  94.0  94.1 108.1 110.3 111.0 117.9 126.6  79.5  74.3  73.2  51.6 102.4
128  94.6  94.8 112.1 110.6 110.5 104.2 106.6  61.8  64.0  62.6  62.9  99.0
129 115.9 115.1 117.8 114.2 115.4  99.9 144.4  94.8  86.7  86.5  58.3  91.0
130 110.8 110.0 121.8 115.2 115.9  89.4 132.4  91.6  83.1  83.7  56.9  68.3
131 108.8 108.4 121.0 115.4 116.3  93.5 136.2  89.2  77.5  78.0  41.3  65.1
132 103.6 103.9 121.7 115.1 115.4  89.6 121.6  74.1  67.9  67.9  46.9  67.0
133 102.5 102.9 114.2 108.2 109.2  85.0 135.1  78.6  75.2  75.3  61.9  71.1
134 108.6 107.7 109.8 105.8 106.5  90.0 124.7  78.2  78.7  78.6  74.8  82.4
135 128.2 126.7 124.1 122.2 123.2 113.7 148.8  95.1  88.6  89.0  67.0  79.0
136 108.6 108.8 112.9 113.1 114.3 112.1 145.6  78.7  72.8  73.0  53.3  67.4
137 117.7 117.1 118.7 121.5 122.2 129.8 140.3  85.9  78.0  77.8  51.4  81.3
138 112.5 112.2 113.3 114.9 115.8 119.1 138.5  81.2  74.1  74.1  50.3  74.0
139  94.1  94.7 106.8 106.4 107.2 103.5 127.3  73.1  69.7  68.7  52.7  96.1
140 102.4 102.7 119.3 116.6 116.8 105.5 117.9  58.7  64.0  62.8  70.3  91.3
141 119.6 119.1 126.4 123.6 124.4 111.7 145.3  85.7  80.1  80.0  59.7  82.6
142 111.1 110.6 126.6 120.9 121.0  98.6 120.7  81.8  74.3  75.0  52.0  57.4
143 109.3 109.1 127.2 122.2 122.8 102.8 134.7  79.6  68.9  69.0  36.1  65.8
144 104.7 105.3 123.8 119.2 119.5 101.1 124.4  70.7  63.5  63.4  39.7  65.9
145 103.4 116.8 112.2 112.8  94.2 128.3  74.5  73.9  73.7  67.6  76.8 106.6
146 109.6 110.3  92.6 128.4  84.8  82.0  82.7  72.8  64.4 106.4  99.9 107.1
147 112.0 134.1  80.7  74.8  74.7  53.8  77.2 120.3 110.8 114.7 106.7  99.1
148  69.9  62.7  62.8  39.6  60.2 105.1  96.9 102.7  93.4  84.8  94.8  91.1
149  65.9  39.4  77.2 109.0  99.9 107.4  96.1  86.0 108.1  93.6  98.7  97.6
150  96.9 119.3 106.1 112.1 100.8  90.4 104.1  87.7  99.7 116.5 110.7 108.4
151  87.9 102.9  84.8  69.0 109.4  96.8 113.5 140.6  94.7  84.1  75.0  91.8
152  94.9  83.4 113.8  89.2 114.3 163.1  92.6  91.5  90.2  82.3  85.4  87.4
       25    26    27    28    29    30    31    32    33    34    35    36
1    72.8  83.4  91.3  88.0  85.2  98.0  89.3  71.2  51.5  90.9  85.5  80.6
2    80.8  88.5  98.8  91.8  85.9  90.1  91.0  72.5  52.3  95.5  97.1  98.6
3    92.9  98.9 107.3 101.4  96.5 105.5 101.1  80.1  57.3 108.6 111.4 114.0
4    77.2  86.0  93.0  89.8  87.1 104.0  92.9  72.5  50.7  93.0  96.8 100.4
5    91.6  96.6 106.3  98.6  92.2  87.1  99.4  76.9  53.0 103.2 113.0 122.1
6    87.5  91.7  98.8  93.5  89.0  89.8  94.7  76.4  56.3  97.7 104.6 110.9
7    61.5  69.1  87.7  72.3  59.4 100.2  90.0  68.2  45.3  81.0  80.3  79.7
8    72.2  80.2  86.2  83.6  81.3 104.3  89.7  68.0  45.1  82.4  91.1  99.1
9    84.1  92.2  97.2  95.6  94.3 106.8  92.5  77.8  60.9  97.7 103.6 109.0
10   90.9  96.3 100.9  98.5  96.5 116.5  92.9  71.5  48.8 100.5 106.2 111.4
11   85.4  91.6  95.8  94.1  92.7 111.6  91.4  76.2  58.9  96.2  98.7 100.9
12   69.5  83.9  85.0  90.0  94.2 113.2  88.1  72.3  54.7  78.8  79.8  80.8
13   79.0  92.3 102.1  97.9  94.4 115.1  95.8  78.8  59.7  95.4  91.0  86.9
14   82.3  88.7  96.9  91.5  86.9  98.3  93.4  82.2  68.1  90.7  91.9  93.1
15   92.7 100.8 108.1 104.2 101.0  92.8 101.2  86.3  68.7  99.7 103.8 107.6
16   84.4  89.4  95.4  91.4  88.1  90.7  92.0  80.2  65.6  88.5  93.0  97.2
17   89.8  94.0  99.9  95.7  92.3 116.7  98.6  82.5  64.0  98.9 107.5 115.4
18   96.8  96.4 100.7  96.2  92.4 104.6  95.3  88.7  78.4  97.6 109.4 120.2
19   75.4  79.1  92.4  80.7  70.8 106.2  88.4  71.9  53.6  81.9  81.3  80.8
20   74.3  83.4  92.2  87.3  83.2 112.6  88.7  73.8  56.9  80.6  92.9 104.1
21   89.4  96.3  98.2  99.2  99.9 116.9  87.6  77.7  65.0  96.5 101.1 105.2
22   99.5 102.7 105.7 104.0 102.5 112.4  90.7  83.0  71.9 102.6 111.9 120.4
23   90.1  93.4  97.7  94.8  92.4 117.6  86.4  77.5  65.7  90.9  97.7 103.9
24   72.3  84.9  82.5  90.3  96.7 118.6  78.1  71.7  62.4  76.6  75.9  75.4
25   83.1  90.5 102.5  93.5  85.9 117.3  92.8  85.0  74.9  92.2  88.5  84.8
26   90.2  88.8  94.8  88.2  82.7 102.9  93.0  85.2  75.0  90.8  90.2  89.6
27   99.6  98.6 105.4  98.1  91.9 114.5  98.9  90.5  79.6 100.4 102.0 103.5
28   98.6  96.4 103.9  95.4  88.3 116.8  96.7  87.5  75.7 100.6 105.2 109.4
29  100.0  95.3 100.8  93.3  87.0 124.9  93.7  82.6  68.9  91.4 100.2 108.4
30   99.4  95.7 102.7  94.1  86.8 123.4  92.3  81.4  67.9 100.1 106.3 112.1
31   80.9  79.6  95.7  79.1  65.0 117.3  94.4  80.7  63.9  90.0  87.3  84.6
32   76.5  81.0  87.4  82.8  79.0 124.8  85.5  74.0  59.9  80.0  85.2  90.1
33   99.3  99.7 100.6  99.8  99.2 122.5  93.9  82.2  67.7 101.1 106.7 111.9
34  105.9 105.6 107.6 105.5 103.7 125.3  96.2  86.0  73.1 109.2 112.5 115.4
35   90.6  93.0  95.6  94.0  92.7 132.3  92.4  81.2  67.3  94.9  95.8  96.5
36   75.6  86.1  83.9  90.5  96.1 121.6  87.8  75.5  60.6  77.4  71.6  65.9
37   86.2  93.0 104.2  95.6  88.6 122.3  99.7  93.2  84.6  95.3  87.7  80.8
38   85.0  87.6  95.7  88.6  82.8 101.6  94.3  83.2  69.4  97.5  91.6  86.4
39   93.4  97.4 100.7  98.9  97.3 126.0 100.2  94.5  87.0 100.5 102.6 104.4
40   96.4  96.4 103.5  96.4  90.5 123.0  99.7  90.7  79.2  98.5 103.9 108.8
41   91.1  93.3  95.8  94.2  92.7 122.0  94.0  82.0  67.1  93.9  97.2 100.1
42   99.4  96.1  99.4  94.9  91.0 116.0  96.8  89.4  80.0 105.4 108.7 111.7
43   81.8  83.2  98.2  83.8  71.9 126.5  97.0  88.4  77.4  95.3  90.9  87.0
44   73.3  82.3  88.2  85.8  83.8 118.1  87.8  83.5  77.7  80.3  84.5  88.3
45  106.9 108.2 107.9 108.8 109.3 112.3  98.4  98.0  96.5 106.8 111.6 115.8
46  115.1 113.1 111.2 112.4 113.2 120.1  97.9  97.4  95.9 110.1 114.3 118.0
47   96.5  96.4  94.9  96.4  97.5 112.2  89.9  86.7  82.1  91.6  93.1  94.5
48   87.5  98.6  93.6 102.9 110.3 123.3  89.7 100.4 111.9  87.2  81.6  76.7
49   88.1  94.3  98.2  96.7  95.4 118.2  93.3  84.7  73.0  91.6  87.1  83.2
50   92.5  93.3  97.7  93.6  90.1 110.7  92.1  91.6  91.0  93.1  92.6  92.1
51  114.7 111.1 110.8 109.6 108.6 110.7 102.8 106.7 112.2 111.0 110.8 110.6
52  103.2 102.0 104.8 101.5  98.6 115.3  97.3  96.5  95.5 103.7 105.1 106.3
53   96.1  94.7  93.9  94.1  94.2 115.6  90.7  88.2  84.9  95.2  97.2  99.0
54  114.4 108.9 110.5 106.7 103.4 112.5 103.5 104.3 105.6 114.8 119.4 123.5
55   85.3  81.6  92.0  80.1  69.8 122.5  98.0  98.5  99.5  92.9  86.4  80.8
56   80.5  87.8  94.5  90.7  87.4 119.3  96.2  94.2  91.6  87.9  91.3  94.4
57  105.4 107.7 109.6 108.5 107.6 109.3 103.8 107.0 111.6 113.7 114.2 114.6
58  104.2 104.3 103.6 104.4 105.1 117.3 102.2 102.4 102.7 104.9 109.8 114.1
59   99.7  98.7  99.3  98.2  97.3 104.9  99.9 101.5 103.8  97.8 100.5 102.9
60   86.2  99.0  95.1 104.1 111.8 116.1  98.6 112.4 131.7  90.2  88.4  86.8
61   92.7  93.0  96.0  93.2  90.8 104.1  96.8  99.8 104.6  93.8  86.4  79.9
62   96.0  95.3  93.3  95.1  96.6  97.7  92.7  91.2  88.6  95.4  91.5  88.1
63  102.0 105.9 104.6 107.5 110.0 107.8 106.9 105.8 104.1 105.6 101.5  97.9
64  103.2 102.8 102.1 102.6 103.1 114.3 101.0 100.1  98.8 105.9 109.6 112.8
65  103.8  99.2  96.9  97.5  98.1  89.7  99.0  96.5  92.6  98.2 102.1 105.4
66  120.6 109.7 109.9 105.5 101.7  79.0 103.2 102.1 100.2 113.8 120.3 126.0
67   78.1  79.1  91.8  79.4  68.5  88.7  95.7  93.5  90.1  88.3  82.6  77.7
68   86.3  89.8  96.1  91.2  86.9 104.4  96.9  93.9  89.0  91.0  94.1  96.8
69  115.0 113.7 109.7 113.2 116.4 104.3 103.5 109.2 118.3 112.9 115.2 117.2
70  105.5 104.0 101.5 103.4 105.2 106.2 102.8 105.9 110.9 104.3 106.0 107.5
71  107.7 104.1 102.6 102.8 102.9  96.3 105.7 104.2 101.8 100.1 102.8 105.2
72   89.3 103.2  95.7 108.6 120.0 107.6  95.9  97.8 100.9  90.7  87.9  85.5
73   98.4  99.2 101.4  99.5  97.8 101.4 104.1 103.0 101.3  98.8  92.0  86.2
74  100.0 100.1  98.9 100.1 101.2  95.2 101.4 103.0 105.5  97.8  93.6  90.1
75  119.7 115.6 113.7 114.1 114.4 101.6 111.8 117.1 125.3 110.4 112.0 113.4
76  110.1 101.6  99.0  98.4  97.8 105.0  99.3  98.4  97.0  97.5 101.9 105.6
77  120.4 109.4 105.0 105.2 105.5 110.5 106.5 102.7  96.9 108.0 114.5 120.1
78  125.7 113.2 108.3 108.5 108.7 105.4 105.9 106.5 107.5 111.3 119.9 127.2
79   87.2  83.5  91.5  82.0  73.4 101.8  99.0  95.1  89.1  91.7  86.6  82.3
80   92.1  96.2  98.8  97.8  96.8 110.7 101.5  98.5  93.9  97.3  99.9 102.2
81  111.9 113.4 107.6 113.9 119.6  97.7 102.3 107.4 115.4 111.6 118.0 123.6
82  119.7 116.9 113.2 115.8 118.1 100.4 104.8 110.3 118.9 115.6 120.3 124.2
83  114.1 112.0 108.2 111.2 113.9  59.0 103.8 107.5 113.2 108.9 113.3 117.1
84   92.6 105.4  97.6 110.3 121.8  85.2  98.4 104.5 114.2  90.8  91.4  91.8
85  106.1 105.4 108.6 105.1 101.8  99.3 106.7 102.3  95.1 109.7 103.4  97.8
86  104.8 106.0 109.1 106.5 104.0 101.1 103.8  97.5  87.3 105.9 104.8 103.7
87  123.6 121.0 121.8 120.0 118.3  99.3 109.4 109.2 108.8 118.5 119.9 121.0
88  116.5 107.6 106.5 104.3 102.2  80.4 104.0  99.7  92.7 106.3 109.5 112.4
89  122.5 112.0 111.8 108.1 104.6  88.6 108.2 103.9  97.0 113.4 115.9 118.1
90  129.0 116.8 117.9 112.3 107.1  93.3 102.5 107.6 115.8 116.7 122.9 128.3
91   98.0  93.2 108.7  91.5  75.5 102.2 103.1 107.8 115.2 100.0  93.8  88.1
92  101.1 101.7 105.8 101.8  98.1 111.1 101.4 101.0 100.4  95.8 101.2 105.9
93  118.9 115.1 113.5 113.7 113.9 104.0  97.3  98.7 100.9 110.5 114.7 118.4
94  123.0 121.3 124.4 120.7 117.2 113.9 107.9 105.4 101.5 120.4 126.3 131.5
95  108.6 111.8 111.5 112.9 114.2 109.7 101.1 101.1 101.1 112.5 112.7 112.9
96   85.3 101.4  95.9 107.3 117.8 109.8  95.8 100.4 107.8  87.4  85.1  82.9
97  103.2 114.8 117.4 119.0 120.2 105.6 109.8 108.6 106.6 111.8 109.1 106.6
98  108.3 113.5 112.8 115.4 117.3  97.9 107.4 105.7 103.0 111.8 112.2 112.5
99  102.3 114.7 110.2 119.3 126.9 101.9 110.4 111.5 113.1 108.3 108.3 108.2
100 116.5 120.5 117.6 121.9 125.4 102.1 113.7 110.2 104.6 118.8 125.1 130.6
101 105.5 111.6 107.7 113.8 118.9  94.4 111.9 106.1  97.1 106.9 115.3 122.6
102 115.4 116.7 114.4 117.1 119.2  89.9 114.3 114.5 114.6 116.9 123.6 129.4
103  94.1  95.9 106.0  96.6  88.3  96.8 114.5 115.1 115.7 106.4 101.2  96.6
104  82.4  96.5  99.2 101.6 103.6 105.4 107.7 100.9  90.4  90.4  92.3  93.9
105 111.7 122.2 118.1 126.1 132.8  95.5 105.3 114.8 129.5 115.4 122.9 129.5
106 112.5 124.5 121.3 128.9 135.2 104.0 102.9 107.6 114.8 112.6 119.1 124.8
107  93.9 107.4 103.0 112.3 120.3  93.0  79.7  91.5 109.7  94.2  97.0  99.4
108  82.5 109.1 104.4 119.0 131.5  96.4  71.8 100.6 145.0  84.7  81.8  79.2
109  86.9 101.0 103.3 106.5 108.8  92.4  74.1  81.8  94.3  92.5  83.6  75.5
110  96.6 102.8 102.6 105.0 106.6  87.8  76.8  86.9 103.6  90.1  86.5  83.2
111 106.8 114.0 113.6 116.4 118.5  92.0  80.2  99.1 130.5  98.7 102.7 106.3
112 101.2 106.3 108.7 107.9 106.5  91.7  74.8  85.9 104.1  96.4  97.9  99.2
113 101.1 101.6 101.5 101.2 100.3  97.0  74.1  86.3 106.5  92.1  93.8  95.2
114 107.3 108.7 112.9 108.8 104.1  91.0  83.4  96.6 118.5 101.3 107.5 113.0
115  89.4  89.4 102.1  89.0  75.5  82.6  82.8  96.0 117.9  89.1  83.8  79.1
116  84.2  91.9  97.0  94.7  91.8  94.1  79.4  87.4 100.4  81.0  84.6  87.6
117 113.4 115.0 114.0 115.1 115.4  91.7  88.4  99.1 116.7 105.7 109.9 113.5
118 120.8 116.8 113.4 114.4 114.6  89.0  90.7 100.2 115.6 104.6 108.0 110.9
119 112.7 109.2 106.5 107.1 107.0  92.2  81.7  95.2 117.6  96.1  94.6  93.3
120  89.5 104.0 100.6 109.7 117.9  97.6  76.0  96.7 131.1  87.1  77.3  68.4
121  94.4  98.3 101.3  99.4  97.0 100.6  87.4 100.7 122.4  94.2  78.7  65.4
122  98.4 102.3 106.8 103.4  99.7  84.7  86.9 110.6 154.8  95.8  82.6  71.2
123 117.2 118.7 118.2 118.8 118.6  87.4  96.3 118.2 157.8 111.8 109.6 107.6
124 114.6 109.0 109.5 106.3 102.7 101.4  92.8 102.0 114.8 104.5 103.6 102.7
125 105.9 102.6 100.6 100.9 100.5  95.3  95.9 105.4 118.5  97.9  96.1  94.5
126 132.8 118.7 116.9 112.5 107.8  96.4  96.5 118.6 158.6 116.1 116.8 117.3
127  95.7  88.7 100.0  85.5  71.9  96.3  94.9 111.5 139.9  94.3  86.0  78.9
128  94.9  94.9 101.2  94.4  87.7 100.3  89.3 104.4 130.0  90.4  90.7  90.9
129 121.5 115.2 115.0 112.2 108.9  97.8  95.0 111.6 140.1 109.6 111.2 112.5
130 112.8 110.5 112.0 109.1 105.7  94.7  92.1 106.9 131.8 107.2 109.0 110.5
131 115.2 109.0 107.9 106.0 103.6  98.3  89.8 112.4 154.0  95.2  95.3  95.2
132  97.2 105.7 105.1 108.6 111.0 104.2  83.7 109.3 157.8  85.1  71.9  60.4
133  97.5  96.0 104.2  94.9  86.3 107.3  92.8 107.8 132.5  97.8  88.7  81.2
134 104.4 107.3 105.7 107.9 108.9  90.2  92.8 114.6 154.9 100.1  94.8  90.2
135 122.9 117.3 119.0 114.7 110.1  93.1 106.3 145.6 224.6 115.6 114.5 113.2
136 111.7 102.0 102.8  97.9  92.9 108.1  96.4 116.8 153.4  96.9  98.9 100.1
137 120.8 110.1 110.8 105.6 100.3 104.2 100.8 116.9 143.3 109.1 113.2 116.0
138 118.6 103.4 106.9  97.3  88.4 105.6  98.1 119.0 156.5 101.7 105.8 108.7
139  91.2  84.0  93.4  81.0  69.7 105.7  93.3 112.5 146.5  87.3  80.7  75.3
140  93.3  95.3 104.4  95.6  87.3 110.0  94.2 123.7 181.6  93.5  93.6  93.3
141 114.3 112.9 115.1 111.9 108.3 107.4  92.4 118.6 168.8 110.9 112.5 113.4
142 106.8 103.7 104.6 102.1  99.2 100.9  89.4 109.3 145.3 101.3 102.5 103.0
143 111.4 105.3 106.3 102.5  98.5 104.7  88.6 105.1 133.6 100.8 102.0 102.6
144  92.5 101.0  99.2 103.6 106.6 114.4  82.5 101.3 135.6  88.8  84.8  81.3
145 100.1 112.4  97.4  84.1 114.3  94.1 106.6 123.9  96.9  92.0  85.8 101.3
146  97.0  87.7  96.2  93.8 105.5 120.7 101.5  88.9  78.1 100.6 102.7 103.3
147  97.8  97.4 116.1 148.2 109.7 108.4 106.8 104.3 110.8 116.2  95.6 104.8
148 100.5 110.6  98.3  95.2  92.3  98.0 101.5 103.7  72.2  83.2  95.9 128.5
149 100.2 100.8 101.0  97.8 104.7 110.6  73.1  81.3  88.8 140.3  97.1 112.7
150 106.2 107.3 109.7 110.4  98.2 103.1 102.0 140.1 101.3 117.2 112.5 113.9
151  87.4  80.7  75.3  80.2  81.6 120.6  57.6  70.9  75.1  82.6  94.5  93.4
152  69.5  74.3  75.8 111.7  81.4  96.3  92.2  94.6  97.4 100.6  99.0  99.0
       37    38    39    40    41    42    43    44    45    46    47    48
1    59.2  67.5  80.0  81.4  84.8 101.6  74.1  64.6  61.8  58.5  92.5  89.4
2    79.8  86.3  94.0  80.3  87.2 113.4  89.8  77.6  74.9  67.7 112.9 104.7
3    92.9  98.3 103.2 107.9 109.1 122.2 105.0  94.0  88.9  65.2 120.8 118.7
4    74.2  82.0  92.8  98.4  97.1 102.2  88.9  80.3  77.2  69.9  97.7  95.7
5    95.9 102.5 109.7 100.4 101.4 113.2 105.6  81.3  79.3  72.0 110.4 108.1
6    82.4  90.9 102.5 142.1 131.5 115.3 102.9  73.0  71.5  62.6 108.1 104.0
7    67.9  69.1  67.4 109.6 101.1  87.4  76.2  63.8  60.2  56.1  68.0  78.2
8    78.6  82.5  85.5 168.1 145.5  98.7  70.1  52.8  56.2  88.4  87.9  80.7
9    91.3  96.2 100.4 188.5 165.0 117.3  90.5  67.8  66.0  85.5 113.0 103.9
10   95.5  99.8 102.7 155.9 142.9 121.2  94.4  70.9  68.8  73.1 114.1 107.4
11   87.7  94.1 101.2 142.1 132.5 118.7  93.1  85.1  81.5  76.9 108.5 104.4
12   53.4  70.3  99.3 159.9 143.3 112.1  91.3  75.0  76.6  58.2  96.7  90.7
13   91.0  94.3  98.2 167.6 141.8 102.9  93.1  98.6  93.0  69.4 100.6  96.3
14   84.0  88.1  93.1 146.0 130.7 108.8  95.1 103.1  95.4  85.1 107.2 100.6
15   90.3  97.0 105.2 130.9 125.1 118.6 110.6 118.3 109.8  77.9 119.7 114.4
16   81.0  87.1  94.6  98.2  97.7  99.2  98.0  86.1  82.2  59.9 103.2  95.7
17   87.9  94.9 103.5  97.5  98.4 102.2 109.5  93.9  90.1  80.3 108.8 118.8
18   86.4  95.5 106.7 134.9 123.9 108.8 106.8  97.7  97.8  86.7 115.8 110.3
19   72.7  73.9  75.2  76.6  82.4  94.0  88.8  68.4  68.7  68.9  72.2  77.3
20   67.6  79.9  95.3 125.8 113.6  96.2  71.1  63.0  70.3 120.6  93.1  87.4
21   85.8  94.3 104.7  83.0  95.5 118.4  94.2  93.4  91.6  84.2 114.8 105.6
22   91.9 101.2 112.8  79.1  93.7 120.0 101.6  92.1  89.2  75.9 117.5 111.8
23   81.8  91.6 103.9  78.6  92.5 117.5 100.3  97.2  93.8  87.7 105.6 106.5
24   54.3  70.1  90.0  67.4  80.0 102.6  79.8  80.1  78.0  69.1  94.9  97.1
25   91.7  91.3  90.3  73.8  79.6  92.8  78.4  82.8  78.8  65.6  96.1  98.7
26   83.1  86.9  91.4  63.1  75.2 100.3  84.0  85.6  82.5  75.1 102.6 102.1
27   87.7  92.6  98.3  90.2  94.9 106.3 100.9  96.4  93.3  91.7 111.1 111.3
28   89.0  96.2 105.1  63.5  76.7 103.9  96.0  91.5  90.9  90.1 104.9 108.8
29   85.5  91.6  99.1  73.2  82.5 102.4  92.0  92.7  91.7  95.5  97.8 100.8
30   88.8  97.1 107.4  68.2  83.3 114.5  96.4  97.9  96.2 106.3 105.3 105.4
31   79.1  78.3  76.8  72.2  77.3  89.0  88.4  62.6  62.9  84.2  74.4  82.0
32   71.0  79.0  89.0  81.1  84.8  94.3  69.7  63.3  66.0 112.5  82.3  76.0
33   96.7 102.4 109.3  98.7 103.6 115.7  91.3  96.9  90.4  67.9 114.4 109.0
34   94.1 103.3 114.8 107.9 111.1 120.2  94.4 108.2 102.6  92.5 114.6 114.0
35   81.0  90.1 101.5 106.1 106.3 109.5  86.2  90.8  86.9  70.2  91.5  95.3
36   58.9  75.7  97.2 113.9 108.0  99.4  87.4  77.7  73.5  77.2  90.1  91.6
37   95.4  95.1  94.4  83.4  84.4  86.4  80.5  78.7  74.0  64.2  91.0  93.4
38   97.9  99.3 100.9  82.0  86.0  95.1  89.4  84.1  83.9  77.0  99.0  99.0
39  100.7 101.7 102.5  92.6  95.3 101.5  96.6  93.3  87.9  80.9 100.7 103.1
40  101.5 101.6 101.4  79.1  83.3  92.9  92.3  85.1  83.0  88.2  93.6  94.5
41   94.4  94.6  94.7  87.3  88.4  90.8  92.7  83.6  82.4  79.8  85.9  88.0
42  101.5 108.6 117.3  92.9  95.2 100.4  98.0  86.9  82.1  82.0 101.0  99.9
43   95.3  90.4  83.9  71.0  74.4  82.2  88.3  67.0  62.7  60.8  73.8  82.9
44   69.7  74.4  80.1  80.4  78.9  75.3  67.5  47.7  50.8  72.2  77.2  75.6
45  109.7 113.8 118.6 107.1 108.1 110.3  86.3  84.2  79.9  78.3 105.9 105.0
46  123.3 119.0 113.3  90.7  97.6 113.5  93.0  81.6  78.7  82.6 109.5 113.2
47   94.7  97.9 101.6  95.2  95.2  94.9  82.1  87.9  82.4  71.5  92.2  94.7
48   75.2  90.3 109.0 120.0 112.8  95.7  94.6  82.6  81.7  86.0  88.0  92.1
49   97.6  94.2  90.4  96.7  92.8  85.3  75.9  80.9  75.3  78.8  87.5  90.9
50   93.0  95.4  98.0  94.8  93.9  92.5  87.5  84.3  80.8  90.6  99.0  96.9
51  104.8 107.9 111.5 109.0 108.5 107.7 100.8 109.2 102.0  95.4 115.7 117.9
52  103.1 104.4 106.0 105.3 102.7  97.9  96.5  93.7  89.7  85.5 100.3  97.2
53   95.0  95.6  96.3  92.6  92.9  93.9  93.0  82.7  79.5  88.2  84.9  87.1
54  109.3 113.5 118.3 110.0 110.4 111.5 105.9 113.0 107.4  92.7 110.8 110.1
55   88.6  86.5  84.2 105.6  99.9  88.6  86.4  59.0  60.8  87.1  66.2  75.5
56   81.5  87.2  93.7  84.1  83.5  82.5  80.0  69.4  74.9 117.8  86.1  80.6
57  103.6 108.9 114.8 104.2 105.6 108.6  98.0 114.2 108.6  98.4 111.1 108.1
58  105.9 108.2 110.9 106.3 108.7 113.8  92.3 115.6 109.2  90.7 105.1 106.3
59  106.5 107.0 107.6  96.9  98.9 103.4  88.0 101.8  97.8  98.9 104.3 101.2
60   83.4  93.5 104.8 136.3 123.8  99.0 101.9  94.5  92.6  98.1  98.0  99.4
61  103.5  96.7  89.0  91.2  90.8  89.9  85.0 103.9 112.3  93.4  91.7  91.8
62  105.7 103.4 100.7  84.3  89.1  97.9  91.9 106.3  99.9  93.4 104.6 102.8
63  111.1 107.6 103.6 113.6 111.6 107.8 112.5 125.7 117.6 111.4 110.8 111.0
64  112.9 105.4  96.8  96.5  99.0 103.7 102.7 107.4 106.9  89.0 103.0 101.3
65  101.0  98.1  94.7  95.0  96.1  98.2  98.3  87.8  84.4  90.6  94.8  97.1
66  108.3 112.0 116.2 123.2 119.1 111.7 118.4 122.8 123.2  93.5 110.3 109.1
67   85.6  77.7  68.8  86.4  85.0  82.6  91.2  71.3  73.5 120.1  68.4  73.1
68   75.0  82.8  91.6  85.1  85.5  86.1  80.4  80.7  78.1  88.2  87.9  82.7
69  105.0 104.9 104.8 114.3 113.2 111.2 104.1 118.3 111.5  98.9 117.6 117.5
70   98.5 100.3 102.4  88.1  94.2 105.3  96.0  92.4  87.8  93.0 102.0 102.1
71  112.4 110.8 109.0  94.7  98.8 106.3 111.3  97.5  94.6 123.0 108.4 109.9
72   81.0 100.4 122.5 127.7 117.6  99.4 108.2  85.9 110.2 105.6 100.6 101.7
73  119.4 108.3  96.3  60.1  71.1  91.9  96.9  89.7  88.4  88.1  97.6  95.9
74  115.5 106.9  97.6  61.7  73.6  96.2 106.7 107.4 104.8  93.8 103.7 103.2
75  139.3 123.8 107.1  84.0  91.3 105.4 130.2 123.9 122.7 103.8 118.0 120.9
76  115.7 104.9  93.3  64.9  75.3  95.0 107.5  83.7  85.1  93.3  94.2  92.5
77  124.7 115.6 105.9  68.9  79.8 100.5 123.7 113.9 112.9 100.3 100.1 101.7
78  128.3 122.2 115.6  87.7  95.9 111.6 132.5 118.9 115.2  96.7 116.4 111.9
79   84.3  80.7  76.8  61.0  70.5  88.5 101.6  69.7  72.6  94.5  66.8  73.3
80   84.2  86.1  88.0  62.3  69.7  83.7  91.2  75.0  75.9  80.0  92.0  84.6
81  100.0 107.3 115.2  79.9  91.6 113.9 116.9 118.5 116.1 109.4 118.6 113.8
82  108.1 115.6 123.6  78.3  91.0 115.2 123.4 116.4 114.4 116.1 115.9 113.7
83  110.2 110.8 111.4  77.6  89.0 111.0 118.3 118.5 117.5 107.5 111.4 111.1
84   87.3 100.5 114.8  96.2  96.5  96.9 124.6 102.6 105.6 110.9 102.2 104.7
85  120.6 110.1  99.2  97.2 100.8 102.1 117.8 103.4 103.4 111.6  98.9 100.0
86  114.0 108.3 102.2  99.1 102.0 101.5 121.1 100.9  99.8  98.2 109.3 105.5
87  118.8 116.4 113.7 130.2 128.9 115.0 145.6 113.0 114.0 123.6 117.1 114.9
88  109.2 105.4 101.4 104.9 107.3 105.0 131.3  95.2  95.2 105.6 102.5 100.7
89  116.7 112.6 108.4 109.4 110.7 105.4 138.4  99.9 102.2 109.5 105.9 106.3
90  116.6 118.3 119.9 131.9 131.5 119.7 160.2 118.6 118.9 126.4 122.5 114.2
91   98.1  90.4  82.3 109.8 107.2  91.8 132.9  83.4  87.5 113.6  76.5  81.1
92   84.3  95.1 105.9 116.7 111.5  89.1 106.8  76.4  81.9 126.2 103.0  95.5
93  103.1 109.3 115.5 111.4 112.5 106.2 137.5 115.7 115.6 124.7 120.0 109.9
94  109.2 123.9 138.7 138.1 136.1 119.9 143.7 116.8 126.1 115.6 124.5 119.8
95  105.4 117.1 128.8 144.6 138.6 111.6 139.1 107.9 109.9 133.7 110.1 109.7
96   80.2 105.2 130.4 149.2 137.3  95.1 136.9  92.8  97.2 125.0 100.1  99.3
97  124.9 117.6 108.7 123.2 119.1 101.3 134.0 101.5 102.5 112.2  97.3  94.6
98  128.9 123.4 116.5 135.6 133.7 118.3 150.8 101.8 103.3 114.7 108.7 101.8
99  123.1 118.2 112.2 135.8 136.9 126.2 160.4 103.6 104.5 116.5 108.6 108.0
100 141.4 132.6 121.9 126.9 126.2 113.2 163.1 110.1 111.6 126.8 116.6 108.7
101 120.6 118.3 115.0 110.3 111.7 103.6 147.4 100.5 100.7 107.2 105.5  98.6
102 130.7 126.7 121.6 165.8 152.5 116.2 162.8 109.9 111.4 121.8 117.9 108.5
103 109.7 102.1  92.9  98.1 101.7  98.3 139.0  82.0  84.3 106.0  83.7  81.8
104  81.9  85.9  89.9 110.0 103.9  84.2 116.3  68.3  72.0 106.1  85.0  78.6
105 112.7 121.2 130.4 144.8 139.7 118.3 146.9 109.5 111.3 129.5 127.1 114.9
106 114.5 120.4 126.7 116.8 121.2 117.4 143.0 108.9 110.3 127.1 126.5 124.2
107  86.6  96.6 107.4 104.0 104.0  94.5 126.2  77.7  80.6 107.3 101.8  98.6
108  74.5  85.0  96.5 130.4 120.7  93.3 143.2  67.7  73.8 117.5 102.8  98.7
109  74.9  82.1  89.4  81.6  88.0  90.2 110.6  57.2  61.7 100.6  95.2  88.7
110  77.1  86.4  96.0  87.1  90.9  88.5 111.1  65.5  70.5 117.8 105.2  97.9
111  81.1  93.1 105.4 102.9 105.9 101.0 122.9  74.5  78.8 126.9 113.1 109.7
112  74.4  85.1  96.1  96.1  96.0  87.0 110.4  65.0  69.3 107.7  99.9  96.6
113  80.0  84.0  87.8  89.0  89.2  81.2 103.1  53.9 119.5  87.7  90.4  88.8
114  87.3  97.7 108.3  99.6 102.7  98.1 120.4  83.0  87.0 124.9 107.3 100.5
115  78.5  76.0  72.9  66.1  72.2  75.5  90.9  51.4  55.7  98.6  75.4  77.4
116  69.2  71.9  74.3 101.3  92.9  70.7  82.2  50.0  72.1  91.1  89.9  78.8
117 104.0 104.3 104.1 118.0 116.7 103.7 107.8  85.2  87.8 130.1 120.6 108.3
118  99.2 102.7 105.8 102.5 105.4 100.4 110.0  80.3  82.8 107.5 115.4 111.7
119  95.0  99.7 104.2 106.3 104.3  91.3 101.9  68.2  86.1 103.9 104.2 105.0
120  70.2  79.0  88.0 128.0 120.6  97.2 117.2  70.3  74.8 114.1  99.8  94.6
121  95.3  91.1  84.5  85.5  88.5  85.4  89.9  62.8  74.2 101.2  95.3  91.5
122  97.1  98.6  98.9  98.4  97.4  86.5 110.2  69.0  80.2 104.1 104.6  98.0
123 110.7 107.7 102.2 122.0 120.0 105.3 128.6  87.9  99.9 107.4 117.1 111.2
124 105.7 111.6 117.2  91.8  97.3  97.7 111.3  74.8  87.9 114.8 103.8 100.9
125 104.1  98.7  90.5  93.1  93.0  84.3 113.2  77.2  88.6 100.2  97.5  92.5
126 115.5 112.1 106.1 118.0 119.1 109.8 135.7  92.6 106.2 125.6 114.9 107.6
127  91.5  85.8  77.4  83.1  84.5  79.1 102.0  50.2  60.9  96.3  72.8  79.2
128  78.2  79.6  80.1 108.9 103.1  83.4 106.7  63.2  73.9  99.3  89.6  83.9
129 106.6 115.9 125.5 122.7 119.2 101.9 128.7 106.1 119.6 123.0 122.7 114.1
130  99.1 102.4 104.8 121.8 122.8 113.0 124.6  97.9 110.9 108.2 107.6 110.6
131 101.5  99.3  94.9 117.2 114.4  98.6 119.3  97.8 111.6 115.7 102.6 105.9
132  82.4  87.4  92.2 112.7 109.9  94.7 137.7  98.1 112.2 126.6 107.7 105.2
133 105.0  98.9  90.8 101.6 102.6  94.5 119.0  89.3 101.5 102.7  91.9  93.3
134 103.8 107.0 108.7  95.6  97.2  90.7 131.9  98.0 111.0 107.6 107.2 109.8
135 117.2 117.1 115.2 104.2 111.3 113.0 172.4 115.9 132.3 138.2 115.8 117.4
136 102.7 103.0 101.7  98.8  99.0  89.9 138.7  91.1 105.2 116.2  96.4  97.9
137 111.6 114.6 116.0  97.5 101.5  98.7 157.6 110.5 124.1 114.3 103.4 111.0
138 102.9 107.7 111.2  81.5  92.4 102.2 152.8 100.2 114.8 128.8 104.5 100.6
139  89.8  84.8  78.3  69.2  73.7  74.3 117.2  65.0  76.1  90.3  73.0  87.4
140  83.4  89.8  95.2  85.9  88.5  84.5 118.1  66.6  78.9 118.4  98.0  98.2
141 106.8 114.6 121.0 109.0 113.4 110.1 146.7 114.2 129.2 129.3 120.8 123.4
142  99.5 109.3 118.1  96.0 101.1 100.4 134.5 102.5 115.6 125.4 107.1 114.3
143 101.0 105.6 108.9  95.5  97.9  92.8 133.1 105.0 117.6 123.9 100.0 107.8
144  78.1  99.6 120.9  94.4  96.9  92.2 137.5  99.2 116.1 117.7 103.9 106.1
145  98.4  92.7  85.3  91.5  94.0 118.3  87.6 101.4 103.3 100.1  92.6  83.2
146  64.4  79.6 100.7 133.3  95.8 111.6 111.4 105.8  94.3  79.0  95.3  95.3
147 111.9 154.9 114.3 131.3 120.1 126.6 136.2  99.7  97.9  97.9 101.1 144.9
148  87.5 104.3  92.4  98.4 107.4  80.6  93.4  93.4 104.9 111.4 113.9 115.2
149 104.8 104.0 101.1  90.2  98.3  98.3 100.4 117.6 115.6 127.0 114.1 116.1
150 114.8 103.1  91.8  91.8  98.5 121.0 120.6 133.7 116.9 122.9 110.4 121.1
151  94.3  94.3  94.7  63.3  51.1  68.9  66.1  84.3 108.3  83.7  94.8  92.1
152 103.8 111.4 112.9 121.5 106.3  98.3 116.3  91.5  89.6  92.5 118.2 104.0
       49    50    51    52    53    54    55    56    57    58    59    60
1    84.8  71.0  98.0  98.0  96.9  79.2  91.0  71.8  84.2  70.3  71.7  91.6
2    93.5  74.9  89.9  89.9  91.5 101.6 128.2  95.9 103.0  83.0  75.1 107.9
3   115.5  82.5  96.3  96.3  97.6 114.9 140.3 106.5 114.4  97.5  81.5 122.6
4    92.6  85.6  85.0  85.0  96.4  94.5 113.4  86.5  93.5  86.1  73.4  95.6
5   104.7  90.0  80.0  80.0  96.6 117.1 137.4 113.2 114.3  93.6  80.4 108.5
6    98.0  89.4  76.9  76.9 103.2 104.9 122.6 101.3 102.4  93.0  79.3 106.1
7    91.4 114.0  74.9  74.9  92.5  45.7  40.6  39.6  51.3  68.0  66.6  74.5
8    70.7  82.3  76.7  76.7  94.1 106.2 126.5 103.7 102.2  77.0  71.3  83.7
9    91.6  84.1  83.4  83.4  97.5 112.9 134.5 108.9 109.2  89.2  82.0 109.0
10   98.2  94.5  91.9  91.9  98.0 113.2 130.9 107.6 112.6  88.9  79.8 109.9
11   98.5  90.8  96.3  96.3  92.2 102.4 119.1  97.0 101.7  94.2  82.2 106.1
12   82.4 110.1  97.4  97.4  99.9  83.3  99.0  76.7  83.9  99.7  77.4  96.2
13   90.1  83.3  93.5  93.5  97.0  86.7  91.2  76.9  93.5 100.5  80.6  97.1
14   91.1  87.9  85.5  85.5  89.9  99.1 110.7  91.7 100.3  99.0  82.5 102.8
15  106.8 106.8  88.4  88.4 102.5 108.2 117.1 101.7 109.7 115.1  89.5 118.6
16   84.9  88.4  78.8  78.8  95.6  94.0 101.7  87.7  94.4  93.1  81.3  97.3
17  133.3  88.6  75.4  75.4  97.8 110.9 120.9 105.9 108.3 103.1  87.0 121.6
18  102.3 114.2  75.2  75.2 105.0 111.6 121.1 107.2 108.6 110.0  91.7 114.4
19   84.9  91.7  74.1  74.1  97.0  53.3  45.1  45.4  59.4  79.5  76.9  75.2
20   79.3  94.6  76.6  76.6  97.1 106.9 117.4 103.9 102.9  87.3  80.9  87.4
21   92.3  86.2  79.0  79.0  96.1 103.8 108.6  97.2 105.0  99.4  86.2 108.0
22  103.5 125.3  90.1  90.1  95.9 120.3 126.1 112.1 120.0 102.1  94.1 113.3
23  107.8  81.1  94.2  94.2  97.9 101.5 105.1  94.1 103.1 100.4  86.9 106.3
24  100.6 101.2  94.6  94.6  94.5  75.5  73.7  68.6  79.5  86.3  81.3  96.3
25  102.7  79.8  96.3  96.3 101.1  90.5  80.7  77.6  96.7  82.4  87.4  98.7
26  101.7  69.2  85.9  85.9  89.1  93.3  84.3  81.5  98.3  84.9  85.9  99.9
27  111.9  77.5  89.6  89.6  95.9 108.6 101.1 101.1 108.7  98.0  92.2 110.2
28  115.0  83.1  81.6  81.6  95.1 105.2 113.3  98.8 104.4  94.9  88.9 109.1
29  105.7  89.3  80.8  80.8 102.8 103.4 111.3  98.7 102.4  93.5  85.6 101.5
30  105.9  90.6  80.9  80.9  91.8 106.7 114.5 101.7 105.7 100.1  85.2 107.9
31   93.6  99.2  81.4  81.4  97.1  56.3  47.7  48.5  63.0  75.3  81.3  78.0
32   66.7  83.3  84.4  84.4  98.8  93.5  99.8  90.0  92.1  73.9  79.1  77.0
33  101.2  83.2  83.0  83.0 101.9 111.4 119.9 106.6 109.8  94.5  89.2 114.0
34  113.2 101.1  90.6  90.6 103.6 114.3 121.7 107.9 113.9 105.8  94.9 111.0
35  101.2  83.7  92.6  92.6  96.3  99.9 106.8  93.6 100.0  93.0  85.2  91.1
36   94.0 124.0  92.5  92.5  96.4  71.4  70.1  62.6  77.1  92.3  83.3  90.3
37   97.3  85.6 101.0 101.0 103.9  85.8  81.1  72.3  95.0  80.6  92.2  90.9
38   99.0  78.6  91.1  91.1  94.9  92.5  90.1  83.6  97.5  88.3  85.1  96.1
39  107.0  97.9  88.8  88.8 100.1 109.2 113.9 103.2 108.0  92.5  94.2 100.2
40   96.0  81.6  85.3  85.3 103.3 103.7 107.2  97.9 103.0  89.2  91.0  92.0
41   91.5  83.0  82.7  82.7  99.6  97.4 100.1  92.4  96.9  88.8  83.3  86.9
42   98.2  86.9  82.3  82.3 102.5 108.9 112.5 105.5 107.6  94.6  90.6  98.3
43   97.9  78.1  85.4  85.4 103.5  60.8  50.4  55.5  65.5  74.4  88.1  81.4
44   73.1  63.8  90.3  90.3 103.1  91.5  94.9  87.0  90.4  64.9  85.7  73.4
45  103.8  86.5  89.6  89.6 101.2 118.0 124.0 113.7 115.8  91.3 101.8 116.2
46  119.5  90.1  94.1  94.1 104.3 117.3 118.7 112.3 117.7  90.8 104.4 109.6
47   99.1  99.9  90.3  90.3  96.2  93.4  95.7  88.5  93.4  88.6  90.2  89.8
48   98.8 111.9  98.9  98.9 100.0  77.6  76.5  71.2  80.6  99.0 103.5  93.1
49   96.7  90.7 100.1 100.1 103.4  89.2  85.2  82.3  97.1  79.2  86.5  90.5
50   93.5  80.8  87.3  87.3  92.4  97.3  96.9  94.3  99.8  86.2  91.7  97.9
51  121.5  99.1  89.5  89.5 100.6 118.6 120.1 118.3 118.4 103.6 109.3 118.1
52   92.0  94.0  81.6  81.6 102.3 104.5 105.5 104.2 103.9  94.3  96.6  95.5
53   90.7  82.5  83.4  83.4 105.7  97.3  99.5  97.4  95.6  86.7  89.7  85.8
54  108.9 104.0  82.5  82.5  98.4 119.1 123.1 119.2 117.2 109.1 105.0 112.0
55   91.4  94.6  89.2  89.2  97.5  54.2  42.1  55.2  58.4  75.5  93.3  85.6
56   71.4  86.5  85.8  85.8  96.6 101.6 105.7 101.9  99.2  80.7  92.2  80.0
57  103.0  85.1  87.2  87.2  97.9 118.0 122.5 119.7 116.3 105.3 108.5 112.6
58  108.3  83.4  89.9  89.9  99.5 113.5 116.1 113.8 112.6 103.9 103.4 104.4
59   96.0  91.1  94.6  94.6 102.8 100.0 100.8  98.9 100.9  97.0 101.3  99.6
60  101.8 126.6 101.0 101.0  99.3  87.5  85.2  87.8  89.5 106.9 112.2 105.7
61   91.9  83.4 100.3 100.3  97.7  81.2  77.8  74.7  86.2  94.7  96.1  88.6
62   99.8  83.7  98.0  98.0  93.6  93.7  91.1  90.3  98.1  94.6  91.9 102.6
63  111.3  99.6  99.6  99.6 105.8 102.1 102.8  98.4 105.4 112.2 104.8 112.3
64   98.4 100.0  95.6  95.6  99.5 114.2 119.7 114.9 111.3 100.9  98.6 102.3
65  100.9 104.7  96.7  96.7 105.4 102.7 104.4 103.9 100.6  90.6  95.3  97.4
66  107.3 113.2  96.0  96.0 103.6 123.4 126.4 125.6 119.8 120.8 103.6 110.5
67   80.7  82.8 100.8 100.8  99.2  50.3  36.5  51.1  55.3  77.7  87.7  71.2
68   74.4  90.5  96.0  96.0  96.3 106.4 111.2 109.2 102.0  82.3  94.7  80.8
69  117.4  98.4  96.8  96.8  96.4 122.2 126.0 125.5 118.7 107.6 112.5 120.7
70  102.2 101.7 101.2 101.2  97.8 110.0 110.3 111.0 108.7  93.6 104.9  98.6
71  112.2 112.2 103.9 103.9 100.6 106.9 107.4 107.5 106.4 103.0 105.5 111.0
72  103.6 129.6 115.1 115.1 104.2  87.0  86.6  88.0  87.5 122.0 104.5 104.1
73   93.2  99.2 115.1 115.1 101.2  88.1  83.0  87.3  92.8  86.9  98.7  96.3
74  102.5  84.8 106.8 106.8  96.3  96.6  94.2  95.8 100.6  95.6  98.5 101.0
75  125.5 117.4 105.4 105.4 101.6 118.8 115.9 124.4 119.2 113.3 114.2 118.5
76   89.7  96.7  93.5  93.5  96.3 101.6 105.7 103.5  99.0  88.5  95.7  89.5
77  104.2  85.3  94.6  94.6 106.2 114.1 119.5 118.7 110.6 106.8 101.6 101.0
78  104.5  95.8  94.3  94.3 107.9 121.5 128.4 126.9 117.1 114.5 107.3 113.6
79   83.7 100.2  97.6  97.6 107.2  52.6  41.0  53.2  56.4  78.4  92.2  72.4
80   72.9  91.8  95.7  95.7 103.1 107.1 114.7 110.4 103.7  79.4  98.6  84.8
81  106.0  88.1  97.6  97.6  91.2 121.7 128.2 126.8 117.0 110.0 111.6 115.6
82  110.1  93.4 107.0 107.0  97.8 117.2 119.4 120.4 114.4 113.6 114.7 112.6
83  110.7  99.9 103.6 103.6 102.6 114.5 118.1 115.0 113.1 110.0 110.9 109.8
84  108.7 122.3 111.5 111.5 102.7  86.4  86.9  85.8  87.2 114.1 106.1 103.2
85  101.7  92.0 115.2 115.2 101.2  97.7  96.4  92.9 101.8 101.9 100.2  95.3
86   99.5  97.3 108.9 108.9  94.8 105.2 107.7 103.8 106.2 102.1  96.3 102.6
87  111.5 116.6 109.4 109.4 108.0 121.7 123.7 123.1 120.5 121.9 110.9 114.3
88   98.0  99.3 105.0 105.0 110.6 105.3 111.0 105.5 102.8 105.3  97.2  95.0
89  107.0 103.9 101.4 101.4 103.6 110.7 113.7 113.7 108.4 110.0 100.9 101.4
90  101.3 109.6 102.4 102.4 103.2 121.4 125.9 126.0 117.5 129.2 109.4 112.8
91   88.1  94.6  96.6  96.6  99.7  57.9  47.5  58.3  62.8  99.9 101.3  76.4
92   83.7 107.1 102.1 102.1 101.7 110.9 119.5 114.0 106.7 100.6 101.2  93.5
93   94.2  93.4  98.4  98.4 102.0 114.4 121.2 117.6 111.3 117.2 104.8 117.6
94  112.4 110.5 107.4 107.4  98.9 127.9 135.1 129.4 125.4 136.0 111.4 118.6
95  109.0 117.2 110.8 110.8 104.4 111.4 117.3 113.6 109.8 126.0 106.9 110.1
96   97.8 133.7 110.6 110.6 101.5  81.3  79.9  84.0  83.1 125.0 103.9 113.1
97   90.3 105.9 111.3 111.3 106.1 107.4 113.5 104.8 108.1 112.5 107.6  91.2
98   91.4 101.1 102.9 102.9  97.1 115.8 122.2 115.6 114.5 119.3 104.7 106.2
99  106.8 125.2  96.2  96.2 101.7  99.8 101.1 101.3 100.0 121.1 109.1 115.5
100  96.6 120.3  90.1  90.1  96.4 127.2 135.7 130.0 123.9 127.1 109.3 106.2
101  88.0 122.3  92.7  92.7 108.1 113.3 118.7 117.3 109.9 116.0 102.2  95.9
102  94.1 125.6  96.8  96.8 100.4 121.5 128.4 124.3 118.0 131.9 109.8 113.2
103  78.8 115.3 101.5 101.5 102.8  66.0  54.2  70.3  69.9 101.0 106.2  78.3
104  68.9 111.6  99.3  99.3  97.4 100.5 108.6 106.9  96.1  92.6  95.1  79.8
105  96.4 119.6  98.9  98.9  98.3 126.3 132.6 131.1 122.9 127.2 118.7 121.2
106 120.4 130.5 108.7 108.7 103.3 120.8 123.5 122.9 120.5 124.3 116.9 125.6
107  93.6 131.7 105.1 105.1  96.2 100.3 103.1 104.6  99.0 103.8 105.3  97.2
108  92.2 152.2 112.3 112.3 100.0  83.1  80.8  86.9  85.0 106.4 119.5 102.8
109  79.1  88.6 115.6 115.6 106.5  91.7  89.2  86.3 100.0  84.2  96.5  88.8
110  87.0 108.7 103.7 103.7  94.7 103.6 105.3 104.7 105.8  91.9  99.3  95.3
111 104.1 127.2 106.9 106.9 100.0 121.1 122.9 125.9 120.1 103.4 113.8 107.6
112  91.3 131.8  96.3  96.3 103.6 105.9 107.2 110.2 104.8  93.0 102.7  95.0
113  85.9  83.5 101.4 101.4 107.4 104.3 106.9 111.5 101.4 110.6  98.8  87.5
114  90.4 104.1 101.8 101.8 101.9 120.6 122.4 128.3 117.8 107.9 109.9 106.7
115  79.5  90.5 107.4 107.4  99.5  61.8  51.5  66.0  64.9  72.9 103.6  75.8
116  62.6  84.9 112.4 112.4 100.8 102.6 105.1 111.2  98.8  80.9  96.6  80.0
117  90.5 106.8 113.8 113.8 101.1 124.5 127.7 134.2 121.4 103.8 111.6 117.2
118 105.7 105.3 114.1 114.1 101.1 124.0 127.2 131.6 122.1 100.4 111.6 106.6
119 105.3  96.6 109.1 109.1 102.8  96.4  93.7 100.4  98.1 101.2 107.0 104.7
120  86.7 126.7 118.8 118.8 102.7  76.7  74.4  80.6  79.3 100.3 111.5  95.2
121  85.7  73.8 123.0 123.0 104.7  84.4  76.6  79.0  94.6  84.5 102.0  94.0
122  88.0  75.0 113.8 113.8  97.3  91.2  85.1  90.5  97.6  97.2 113.5  95.7
123 102.1  98.0 117.3 117.3 101.8 128.0 128.4 137.5 125.1 111.8 125.5 112.6
124  96.2  90.8 105.7 105.7 105.0 110.2 108.4 116.7 107.3 105.2 106.7  99.1
125  84.9  89.1 109.3 109.3 101.7 100.5  98.5 109.4  97.9  97.9 102.9  91.6
126  96.5 107.0 102.9 102.9 109.4 126.2 125.2 137.6 122.3 117.7 123.6 111.5
127  87.6  92.9 106.8 106.8 100.5  57.6  46.3  64.1  60.7  79.1 107.7  76.6
128  75.3  85.9 110.9 110.9  99.2 104.2 108.4 113.8 100.5  89.4 105.5  83.4
129 101.3  95.8 107.2 107.2  99.1 123.5 125.9 134.1 119.9 128.1 117.1 113.5
130 114.1 101.7 111.6 111.6  96.6 120.0 120.2 129.6 116.6 117.7 113.3 106.4
131 109.6  96.5 113.1 113.1 102.1 102.6  99.2 109.0 102.6 113.3 118.0 104.1
132 100.8 139.2 113.3 113.3 104.7  70.1  60.0  68.0  80.0 119.4 118.4 108.4
133  94.7  80.3 113.7 113.7 101.4  90.0  86.0  90.8  92.8 103.7 105.8  91.0
134 113.2  84.4 102.5 102.5  95.7 111.2 111.0 117.2 109.4 116.0 114.6 108.3
135 119.3 101.1 105.1 105.1 106.0 130.1 132.1 139.6 125.6 137.3 140.3 121.0
136  99.7  90.4 100.6 100.6 101.1 103.7 103.3 106.9 101.2 113.8 113.8  95.4
137 121.6  93.1 101.0 101.0 105.3 124.6 124.2 133.3 120.3 129.8 117.4 109.9
138  94.3  93.9  97.0  97.0 106.1 112.8 113.6 121.8 109.2 121.5 115.4 101.4
139 108.2  76.2 102.7 102.7  95.6  54.9  42.1  58.7  58.3  87.0 105.9  86.0
140  98.1  96.3 106.8 106.8  96.0 110.0 111.4 119.6 106.0  93.3 120.4  96.5
141 126.5  90.3 103.1 103.1  98.9 127.0 127.9 139.8 122.1 131.3 126.9 124.6
142 124.5 100.7 106.8 106.8  98.9 116.4 114.3 127.1 113.5 123.7 117.1 109.3
143 118.8 104.5 108.1 108.1 102.3 114.2 113.2 122.8 111.6 121.8 113.8 104.5
144 108.8 149.0 108.1 108.1 106.2  88.5  84.0  91.2  91.4 124.5 112.8 101.8
145 105.8 105.8  98.4  99.3  91.2  95.4 105.6 103.9 106.7 101.5  98.4 100.4
146 106.7 114.7 103.0 121.0 115.5 110.6 107.3 103.4  97.5 101.7 107.5  97.1
147 159.3 149.9 135.6 133.7 121.8 125.9 107.0 115.2 121.4  98.6 100.9 100.9
148 108.9 108.0 101.1  96.8  97.5 100.9 101.3  95.3 105.0 105.0 102.8 102.8
149 103.1 104.4 100.4 105.3 102.9 101.7 108.8 108.8 106.7 106.7 116.8 117.0
150 103.9 109.8 109.5  96.3  97.8  97.8  95.1  95.1 119.3 119.9  97.9  97.8
151 110.2  99.0 100.8 100.8  97.9  97.9  96.1  96.2 100.6 100.7  97.9  96.2
152  77.5  77.5  77.7  77.7  81.0 134.7  80.7  75.5  77.3  77.7  74.5  75.5
       61    62    63  64\r
1    79.6  76.3  70.6  97.2
2    89.4  86.9  73.3  89.5
3   102.3 100.2  79.3  98.1
4    88.3  87.1  72.1  90.4
5   102.5  99.2  78.8  82.8
6    96.8  95.1  77.8  82.1
7    82.2  77.4  66.1  82.6
8    90.0  85.5  70.5  85.0
9   101.8  97.4  80.5  90.2
10  102.7  97.9  78.1  98.2
11   96.6  95.3  80.8  99.3
12   79.2  85.0  76.3 101.1
13   96.5  97.4  79.5  98.8
14   93.8  95.2  81.3  88.7
15  100.5 105.0  87.8  90.3
16   90.0  90.6  80.3  82.9
17   96.4  98.3  85.0  87.4
18   97.6 101.3  90.3  84.8
19   80.8  80.0  76.9  83.8
20   83.1  84.2  80.5  87.1
21   91.8  94.0  84.9  89.7
22   98.1  99.1  92.9  95.8
23   90.0  93.1  85.7  99.9
24   72.5  76.8  80.4 100.1
25   90.1  87.6  86.7 101.6
26   88.3  87.2  85.1  90.1
27   96.5  96.8  91.1  96.0
28   96.0  95.5  87.7  91.0
29   93.5  93.3  84.6  93.0
30   94.6  96.1  83.9  91.8
31   86.0  82.6  81.4  91.2
32   82.0  79.4  79.2  95.1
33  100.3  98.3  87.7  93.9
34  102.7 103.5  93.9  99.9
35   92.3  92.3  84.8 102.3
36   77.8  82.1  82.8  99.6
37   94.3  89.7  92.2 106.5
38   94.3  92.2  84.4  94.1
39  101.1  98.2  93.8  98.5
40   99.6  96.1  91.0  95.7
41   93.9  92.1  83.1  93.3
42  101.6  99.2  90.1  92.0
43   91.5  85.8  88.5  96.6
44   80.2  75.1  86.5  98.1
45  106.5 101.5 100.9  96.1
46  109.4 103.2 104.1 101.2
47   93.7  91.9  90.2  96.1
48   86.9  90.7 104.1 104.8
49   93.6  88.6  86.2 104.7
50   94.1  91.4  91.3  93.3
51  107.8 106.5 108.6  95.5
52  103.1 100.1  96.6  91.4
53   94.6  91.9  89.9  93.0
54  110.9 110.3 104.5  91.0
55   92.1  86.4  93.8  97.7
56   89.6  86.6  93.0  94.7
57  108.0 107.1 108.2  93.4
58  106.8 105.9 103.3  97.2
59  102.1 100.4 101.4  97.8
60   93.0  97.8 112.6 104.4
61   96.0  95.6  96.7 101.0
62   96.4  95.8  91.1  97.5
63  106.5 108.4 104.3 102.1
64  105.7 104.1  98.3 100.4
65  100.1  96.9  95.1  95.8
66  111.0 114.3 103.1  92.7
67   87.3  84.1  88.9  97.8
68   89.6  87.2  95.7  98.0
69  108.4 108.1 111.9  98.6
70  102.3  99.4 105.4 102.1
71  106.0 105.0 105.1 101.8
72   90.9 101.3 104.5 112.3
73  101.9  97.0  98.8 109.9
74  101.1  99.4  98.3 102.6
75  117.5 116.1 113.9 104.0
76  102.2  97.8  96.1  97.0
77  111.0 109.6 101.7 100.2
78  115.3 115.1 106.8  98.7
79   89.6  86.0  93.6  99.6
80   93.7  89.1  99.6 100.6
81  107.6 108.4 111.3  97.1
82  111.4 112.1 114.8 104.3
83  108.5 109.0 110.9  91.0
84   94.7 100.9 106.3 103.3
85  110.2 107.5 100.5 109.3
86  108.6 106.5  95.9 105.4
87  119.5 120.3 110.6 106.4
88  109.3 108.0  97.4  98.5
89  115.7 113.8 100.9  98.0
90  118.5 122.1 109.2  99.9
91  100.9 100.6 103.1  98.5
92   99.9 100.2 101.8 104.7
93  109.9 112.3 103.9 100.4
94  120.7 125.7 110.9 108.6
95  113.3 117.5 106.6 109.9
96   96.4 105.8 103.2 109.5
97  116.2 115.1 108.7 109.2
98  119.2 119.3 104.6 100.9
99  117.9 119.0 108.7  98.4
100 126.5 126.8 109.5  94.2
101 116.3 116.3 102.6  94.7
102 124.7 127.1 109.5  95.2
103 108.8 106.5 108.1 100.3
104  96.7  95.5  96.1 100.9
105 118.4 121.3 118.5  97.9
106 115.4 118.3 116.3 106.9
107  91.7  95.6 105.9 100.8
108  82.5  90.1 120.7 106.6
109  81.7  82.6  97.0 108.2
110  84.5  86.9  99.6  98.4
111  92.4  95.9 114.2 102.0
112  86.8  88.8 103.3  95.7
113  85.1  93.2  99.6 100.8
114  94.7  98.9 110.1  98.8
115  82.5  79.6 105.7  99.6
116  80.5  80.7  97.8 106.1
117 102.3 102.9 111.1 106.3
118 102.2 101.7 112.0 105.7
119  93.3  95.9 107.2 103.7
120  81.0  87.1 112.7 111.2
121  88.6  87.5 102.5 114.8
122  91.8  93.6 114.9 103.6
123 108.4 109.6 126.4 107.0
124 102.1 103.2 107.3 104.8
125  99.1  98.9 103.8 104.7
126 111.7 113.7 124.5 102.0
127  91.6  87.9 110.1 103.4
128  89.5  89.6 107.1 107.0
129 108.1 114.4 117.3 104.0
130 104.7 108.8 113.8 105.4
131 100.1 104.3 119.0 107.9
132  86.9  97.0 119.1 110.1
133  98.7 100.4 106.9 111.0
134 100.3 105.3 115.0  98.5
135 115.4 122.3 141.7 101.9
136 101.8 105.6 115.2 103.4
137 110.9 116.9 117.9 102.9
138 105.3 110.5 116.5 101.0
139  89.2  88.6 107.4 103.4
140  94.8  94.5 122.2 107.2
141 108.5 115.7 126.9 104.5
142 100.5 107.8 117.7 104.7
143  99.6 106.6 114.4 107.0
144  89.9 100.7 113.6 110.3
145 107.0 107.9 103.1 103.1
146 115.2 115.2 113.5 113.5
147  99.2  99.2 107.1 107.4
148 117.6 117.9 105.4 105.1
149 110.3 108.9 106.7 108.3
150  95.1  93.9  94.7  97.3
151  97.2  99.9 100.6 119.9
152  74.7  75.5  78.4  76.3
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))

Call:
lm(formula = df)

Coefficients:
(Intercept)          `2`          `3`          `4`          `5`          `6`  
 -2.551e-02    1.023e+00   -1.540e+00    1.210e+00    9.034e-03   -8.022e-05  
        `7`          `8`          `9`         `10`         `11`         `12`  
 -8.903e-03   -9.800e-02   -7.094e-02    3.507e-01   -9.793e-02    4.509e-02  
       `13`         `14`         `15`         `16`         `17`         `18`  
  1.560e-01    1.649e-02   -5.312e-03    1.620e-02   -1.527e-02   -1.305e-03  
       `19`         `20`         `21`         `22`         `23`         `24`  
  4.562e-04   -4.072e-03   -1.850e-02    2.292e-02   -1.030e-03    8.724e-04  
       `25`         `26`         `27`         `28`         `29`         `30`  
 -7.890e-03    2.828e-02    7.788e-03   -3.713e-02    8.710e-03    7.288e-04  
       `31`         `32`         `33`         `34`         `35`         `36`  
 -1.039e-03    1.635e-03   -6.876e-04   -1.486e-02    3.165e-02   -1.649e-02  
       `37`         `38`         `39`         `40`         `41`         `42`  
  3.516e-03   -5.845e-03    3.057e-03   -1.415e-03    2.484e-03   -1.073e-03  
       `43`         `44`         `45`         `46`         `47`         `48`  
  1.942e-04    6.486e-06    8.590e-04    4.143e-05    7.193e-04   -6.517e-04  
       `49`         `50`         `51`         `52`         `53`         `54`  
  1.793e-04    1.579e-04    5.309e-01   -5.319e-01   -9.599e-04   -6.789e-04  
       `55`         `56`         `57`         `58`         `59`         `60`  
  5.059e-04   -3.038e-04    1.641e-04   -3.320e-03    1.536e-02   -6.754e-04  
       `61`         `62`         `63`      `64\\r`  
 -4.553e-03    1.043e-02   -1.220e-02    5.399e-03  

> (mysum <- summary(mylm))

Call:
lm(formula = df)

Residuals:
       Min         1Q     Median         3Q        Max 
-0.0142690 -0.0041714 -0.0000551  0.0044252  0.0122700 

Coefficients:
              Estimate Std. Error t value Pr(>|t|)    
(Intercept) -2.551e-02  2.810e-02  -0.908 0.366504    
`2`          1.023e+00  1.958e-02  52.246  < 2e-16 ***
`3`         -1.540e+00  1.341e-01 -11.483  < 2e-16 ***
`4`          1.210e+00  1.156e-01  10.462  < 2e-16 ***
`5`          9.034e-03  1.768e-02   0.511 0.610707    
`6`         -8.022e-05  1.524e-04  -0.526 0.600076    
`7`         -8.903e-03  1.747e-02  -0.510 0.611596    
`8`         -9.800e-02  1.089e-02  -9.001 4.08e-14 ***
`9`         -7.094e-02  1.990e-02  -3.566 0.000590 ***
`10`         3.507e-01  2.486e-02  14.108  < 2e-16 ***
`11`        -9.793e-02  1.413e-02  -6.929 6.71e-10 ***
`12`         4.509e-02  1.030e-02   4.378 3.28e-05 ***
`13`         1.560e-01  1.141e-02  13.667  < 2e-16 ***
`14`         1.649e-02  1.303e-02   1.266 0.208765    
`15`        -5.312e-03  5.216e-03  -1.019 0.311230    
`16`         1.620e-02  1.289e-02   1.256 0.212275    
`17`        -1.527e-02  1.300e-02  -1.175 0.243169    
`18`        -1.305e-03  1.302e-03  -1.002 0.318878    
`19`         4.562e-04  5.196e-04   0.878 0.382294    
`20`        -4.072e-03  1.339e-03  -3.041 0.003109 ** 
`21`        -1.850e-02  7.252e-03  -2.551 0.012464 *  
`22`         2.292e-02  7.258e-03   3.158 0.002178 ** 
`23`        -1.030e-03  3.098e-04  -3.326 0.001288 ** 
`24`         8.724e-04  2.730e-04   3.195 0.001941 ** 
`25`        -7.890e-03  2.151e-03  -3.668 0.000418 ***
`26`         2.828e-02  7.782e-03   3.634 0.000469 ***
`27`         7.788e-03  2.881e-03   2.703 0.008244 ** 
`28`        -3.713e-02  6.288e-03  -5.905 6.50e-08 ***
`29`         8.710e-03  3.335e-03   2.612 0.010585 *  
`30`         7.288e-04  6.367e-04   1.145 0.255466    
`31`        -1.039e-03  1.347e-03  -0.771 0.442597    
`32`         1.635e-03  2.515e-03   0.650 0.517238    
`33`        -6.876e-04  5.112e-04  -1.345 0.182100    
`34`        -1.486e-02  3.368e-03  -4.412 2.89e-05 ***
`35`         3.165e-02  7.173e-03   4.412 2.89e-05 ***
`36`        -1.649e-02  3.776e-03  -4.366 3.44e-05 ***
`37`         3.516e-03  9.957e-04   3.531 0.000662 ***
`38`        -5.845e-03  2.456e-03  -2.379 0.019503 *  
`39`         3.057e-03  9.319e-04   3.281 0.001486 ** 
`40`        -1.415e-03  9.860e-04  -1.435 0.154838    
`41`         2.484e-03  1.889e-03   1.315 0.191947    
`42`        -1.073e-03  5.585e-04  -1.921 0.058013 .  
`43`         1.942e-04  5.147e-04   0.377 0.706892    
`44`         6.486e-06  1.635e-04   0.040 0.968444    
`45`         8.590e-04  8.190e-04   1.049 0.297069    
`46`         4.143e-05  7.546e-05   0.549 0.584390    
`47`         7.193e-04  2.823e-03   0.255 0.799491    
`48`        -6.517e-04  4.587e-03  -0.142 0.887326    
`49`         1.793e-04  1.861e-03   0.096 0.923470    
`50`         1.579e-04  8.910e-05   1.772 0.079893 .  
`51`         5.309e-01  3.828e-02  13.868  < 2e-16 ***
`52`        -5.319e-01  3.902e-02 -13.632  < 2e-16 ***
`53`        -9.599e-04  4.552e-04  -2.109 0.037813 *  
`54`        -6.789e-04  1.265e-03  -0.537 0.592749    
`55`         5.059e-04  3.065e-04   1.651 0.102351    
`56`        -3.038e-04  4.667e-04  -0.651 0.516794    
`57`         1.641e-04  9.576e-04   0.171 0.864307    
`58`        -3.320e-03  2.804e-03  -1.184 0.239641    
`59`         1.536e-02  1.349e-02   1.138 0.258013    
`60`        -6.754e-04  9.295e-04  -0.727 0.469379    
`61`        -4.553e-03  5.699e-03  -0.799 0.426525    
`62`         1.043e-02  9.978e-03   1.045 0.298930    
`63`        -1.220e-02  1.237e-02  -0.987 0.326579    
`64\\r`      5.399e-03  2.903e-03   1.860 0.066296 .  
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 

Residual standard error: 0.007594 on 88 degrees of freedom
Multiple R-squared:     1,	Adjusted R-squared:     1 
F-statistic: 4.187e+06 on 63 and 88 DF,  p-value: < 2.2e-16 

> if (n > n25) {
+ kp3 <- k + 3
+ nmkm3 <- n - k - 3
+ gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
+ numgqtests <- 0
+ numsignificant1 <- 0
+ numsignificant5 <- 0
+ numsignificant10 <- 0
+ for (mypoint in kp3:nmkm3) {
+ j <- 0
+ numgqtests <- numgqtests + 1
+ for (myalt in c('greater', 'two.sided', 'less')) {
+ j <- j + 1
+ gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
+ }
+ if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
+ if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
+ }
+ gqarr
+ }
               [,1]          [,2] [,3]
 [1,]  3.833912e-39  7.667824e-39    1
 [2,]  1.060618e-50  2.121237e-50    1
 [3,]  7.365066e-63  1.473013e-62    1
 [4,]  8.317177e-79  1.663435e-78    1
 [5,]  1.089424e-90  2.178847e-90    1
 [6,] 1.097246e-103 2.194492e-103    1
 [7,] 3.892675e-117 7.785350e-117    1
 [8,] 1.991232e-129 3.982464e-129    1
 [9,] 5.953513e-136 1.190703e-135    1
[10,] 6.329596e-149 1.265919e-148    1
[11,] 2.813067e-167 5.626133e-167    1
[12,] 2.985892e-173 5.971783e-173    1
[13,] 9.990867e-185 1.998173e-184    1
[14,] 1.012951e-201 2.025902e-201    1
[15,] 1.245281e-211 2.490562e-211    1
[16,] 1.527655e-230 3.055309e-230    1
[17,] 8.609639e-239 1.721928e-238    1
[18,] 9.707055e-250 1.941411e-249    1
[19,] 2.580380e-246 5.160759e-246    1
> postscript(file="/var/fisher/rcomp/tmp/12zds1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
> points(x[,1]-mysum$resid)
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/2iqmw1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/3p2fs1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/4mcl11353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/5nbkt1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
> qqline(mysum$resid)
> grid()
> dev.off()
null device 
          1 
> (myerror <- as.ts(mysum$resid))
Time Series:
Start = 1 
End = 152 
Frequency = 1 
            1             2             3             4             5 
-1.056692e-03  6.872779e-03 -4.563367e-03  6.856671e-03  6.641040e-03 
            6             7             8             9            10 
-1.003707e-02  2.021082e-03  2.984786e-03 -7.382399e-03  4.018786e-03 
           11            12            13            14            15 
-4.729827e-04 -4.578630e-03  3.586138e-03 -4.112538e-03  4.520527e-03 
           16            17            18            19            20 
 5.580041e-03  5.893800e-03 -2.025169e-03 -9.940900e-04 -5.329359e-03 
           21            22            23            24            25 
-8.192864e-03  6.107547e-03 -4.662151e-03  9.518516e-03 -6.065105e-03 
           26            27            28            29            30 
 4.377404e-03  5.347984e-03  4.587028e-03  4.600299e-03 -1.031034e-02 
           31            32            33            34            35 
-1.177149e-02  2.588730e-03 -2.363345e-03 -6.794702e-03 -4.015091e-03 
           36            37            38            39            40 
-1.426899e-02 -8.020701e-03  4.393461e-03  2.383830e-03 -4.793787e-03 
           41            42            43            44            45 
 4.682138e-03  1.131904e-02 -1.174245e-02  7.594905e-03 -7.682225e-04 
           46            47            48            49            50 
 1.226997e-02  1.738432e-03 -3.002166e-03 -4.541198e-03 -2.284171e-03 
           51            52            53            54            55 
 1.010774e-02 -9.429433e-03  9.021839e-03 -1.889345e-03  3.685190e-03 
           56            57            58            59            60 
 7.551373e-03  2.881015e-03  1.023094e-02  1.706243e-03  2.506343e-03 
           61            62            63            64            65 
-4.017594e-04  3.128426e-03 -8.260763e-04  3.863288e-03 -3.953867e-03 
           66            67            68            69            70 
-3.649595e-03 -1.978983e-03 -1.237097e-02  1.350011e-03 -3.441294e-03 
           71            72            73            74            75 
 8.392931e-03  3.335583e-03  2.107076e-03 -2.843325e-03  4.347607e-03 
           76            77            78            79            80 
-4.358485e-03 -3.416608e-03 -1.262517e-02 -4.680563e-03  1.149263e-02 
           81            82            83            84            85 
-5.067454e-03  4.709811e-03 -9.524361e-03  1.051634e-03  5.080459e-04 
           86            87            88            89            90 
-3.880017e-03  4.339371e-03  4.656682e-03 -4.724552e-03  5.121346e-03 
           91            92            93            94            95 
 1.020606e-02 -8.154485e-03  5.112360e-03  6.104684e-03 -6.044696e-03 
           96            97            98            99           100 
 5.812427e-03 -1.993035e-03  5.584207e-03 -8.467960e-03 -2.099101e-03 
          101           102           103           104           105 
 4.767486e-03  8.612407e-03  1.790582e-03 -6.350732e-05 -8.652564e-03 
          106           107           108           109           110 
-3.150003e-03 -9.522174e-03 -1.400570e-03  1.641121e-03  2.991094e-03 
          111           112           113           114           115 
-7.208045e-03  8.003592e-04 -7.206836e-04  7.182488e-03  1.618764e-03 
          116           117           118           119           120 
 1.888685e-03 -6.959592e-03  2.701193e-03 -9.984478e-04  1.025233e-02 
          121           122           123           124           125 
-7.737353e-03 -1.825875e-03 -3.891099e-03  2.282560e-03 -9.564110e-03 
          126           127           128           129           130 
 7.010294e-03  1.305853e-04  4.391378e-03 -3.793677e-03  5.483231e-03 
          131           132           133           134           135 
 2.255261e-03  4.045886e-03  8.074259e-03 -4.859698e-03  8.022561e-04 
          136           137           138           139           140 
-5.663137e-03 -9.489638e-03 -1.828485e-03  3.480690e-03 -4.348007e-03 
          141           142           143           144           145 
-7.477681e-03  5.046485e-03 -1.463392e-03  5.780361e-03 -4.213262e-04 
          146           147           148           149           150 
-1.005151e-04 -5.562715e-04 -3.214250e-04 -1.769184e-04 -4.669105e-05 
          151           152 
-2.606318e-04  4.217512e-05 
> postscript(file="/var/fisher/rcomp/tmp/647dx1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> dum <- cbind(lag(myerror,k=1),myerror)
> dum
Time Series:
Start = 0 
End = 152 
Frequency = 1 
    lag(myerror, k = 1)       myerror
  0       -1.056692e-03            NA
  1        6.872779e-03 -1.056692e-03
  2       -4.563367e-03  6.872779e-03
  3        6.856671e-03 -4.563367e-03
  4        6.641040e-03  6.856671e-03
  5       -1.003707e-02  6.641040e-03
  6        2.021082e-03 -1.003707e-02
  7        2.984786e-03  2.021082e-03
  8       -7.382399e-03  2.984786e-03
  9        4.018786e-03 -7.382399e-03
 10       -4.729827e-04  4.018786e-03
 11       -4.578630e-03 -4.729827e-04
 12        3.586138e-03 -4.578630e-03
 13       -4.112538e-03  3.586138e-03
 14        4.520527e-03 -4.112538e-03
 15        5.580041e-03  4.520527e-03
 16        5.893800e-03  5.580041e-03
 17       -2.025169e-03  5.893800e-03
 18       -9.940900e-04 -2.025169e-03
 19       -5.329359e-03 -9.940900e-04
 20       -8.192864e-03 -5.329359e-03
 21        6.107547e-03 -8.192864e-03
 22       -4.662151e-03  6.107547e-03
 23        9.518516e-03 -4.662151e-03
 24       -6.065105e-03  9.518516e-03
 25        4.377404e-03 -6.065105e-03
 26        5.347984e-03  4.377404e-03
 27        4.587028e-03  5.347984e-03
 28        4.600299e-03  4.587028e-03
 29       -1.031034e-02  4.600299e-03
 30       -1.177149e-02 -1.031034e-02
 31        2.588730e-03 -1.177149e-02
 32       -2.363345e-03  2.588730e-03
 33       -6.794702e-03 -2.363345e-03
 34       -4.015091e-03 -6.794702e-03
 35       -1.426899e-02 -4.015091e-03
 36       -8.020701e-03 -1.426899e-02
 37        4.393461e-03 -8.020701e-03
 38        2.383830e-03  4.393461e-03
 39       -4.793787e-03  2.383830e-03
 40        4.682138e-03 -4.793787e-03
 41        1.131904e-02  4.682138e-03
 42       -1.174245e-02  1.131904e-02
 43        7.594905e-03 -1.174245e-02
 44       -7.682225e-04  7.594905e-03
 45        1.226997e-02 -7.682225e-04
 46        1.738432e-03  1.226997e-02
 47       -3.002166e-03  1.738432e-03
 48       -4.541198e-03 -3.002166e-03
 49       -2.284171e-03 -4.541198e-03
 50        1.010774e-02 -2.284171e-03
 51       -9.429433e-03  1.010774e-02
 52        9.021839e-03 -9.429433e-03
 53       -1.889345e-03  9.021839e-03
 54        3.685190e-03 -1.889345e-03
 55        7.551373e-03  3.685190e-03
 56        2.881015e-03  7.551373e-03
 57        1.023094e-02  2.881015e-03
 58        1.706243e-03  1.023094e-02
 59        2.506343e-03  1.706243e-03
 60       -4.017594e-04  2.506343e-03
 61        3.128426e-03 -4.017594e-04
 62       -8.260763e-04  3.128426e-03
 63        3.863288e-03 -8.260763e-04
 64       -3.953867e-03  3.863288e-03
 65       -3.649595e-03 -3.953867e-03
 66       -1.978983e-03 -3.649595e-03
 67       -1.237097e-02 -1.978983e-03
 68        1.350011e-03 -1.237097e-02
 69       -3.441294e-03  1.350011e-03
 70        8.392931e-03 -3.441294e-03
 71        3.335583e-03  8.392931e-03
 72        2.107076e-03  3.335583e-03
 73       -2.843325e-03  2.107076e-03
 74        4.347607e-03 -2.843325e-03
 75       -4.358485e-03  4.347607e-03
 76       -3.416608e-03 -4.358485e-03
 77       -1.262517e-02 -3.416608e-03
 78       -4.680563e-03 -1.262517e-02
 79        1.149263e-02 -4.680563e-03
 80       -5.067454e-03  1.149263e-02
 81        4.709811e-03 -5.067454e-03
 82       -9.524361e-03  4.709811e-03
 83        1.051634e-03 -9.524361e-03
 84        5.080459e-04  1.051634e-03
 85       -3.880017e-03  5.080459e-04
 86        4.339371e-03 -3.880017e-03
 87        4.656682e-03  4.339371e-03
 88       -4.724552e-03  4.656682e-03
 89        5.121346e-03 -4.724552e-03
 90        1.020606e-02  5.121346e-03
 91       -8.154485e-03  1.020606e-02
 92        5.112360e-03 -8.154485e-03
 93        6.104684e-03  5.112360e-03
 94       -6.044696e-03  6.104684e-03
 95        5.812427e-03 -6.044696e-03
 96       -1.993035e-03  5.812427e-03
 97        5.584207e-03 -1.993035e-03
 98       -8.467960e-03  5.584207e-03
 99       -2.099101e-03 -8.467960e-03
100        4.767486e-03 -2.099101e-03
101        8.612407e-03  4.767486e-03
102        1.790582e-03  8.612407e-03
103       -6.350732e-05  1.790582e-03
104       -8.652564e-03 -6.350732e-05
105       -3.150003e-03 -8.652564e-03
106       -9.522174e-03 -3.150003e-03
107       -1.400570e-03 -9.522174e-03
108        1.641121e-03 -1.400570e-03
109        2.991094e-03  1.641121e-03
110       -7.208045e-03  2.991094e-03
111        8.003592e-04 -7.208045e-03
112       -7.206836e-04  8.003592e-04
113        7.182488e-03 -7.206836e-04
114        1.618764e-03  7.182488e-03
115        1.888685e-03  1.618764e-03
116       -6.959592e-03  1.888685e-03
117        2.701193e-03 -6.959592e-03
118       -9.984478e-04  2.701193e-03
119        1.025233e-02 -9.984478e-04
120       -7.737353e-03  1.025233e-02
121       -1.825875e-03 -7.737353e-03
122       -3.891099e-03 -1.825875e-03
123        2.282560e-03 -3.891099e-03
124       -9.564110e-03  2.282560e-03
125        7.010294e-03 -9.564110e-03
126        1.305853e-04  7.010294e-03
127        4.391378e-03  1.305853e-04
128       -3.793677e-03  4.391378e-03
129        5.483231e-03 -3.793677e-03
130        2.255261e-03  5.483231e-03
131        4.045886e-03  2.255261e-03
132        8.074259e-03  4.045886e-03
133       -4.859698e-03  8.074259e-03
134        8.022561e-04 -4.859698e-03
135       -5.663137e-03  8.022561e-04
136       -9.489638e-03 -5.663137e-03
137       -1.828485e-03 -9.489638e-03
138        3.480690e-03 -1.828485e-03
139       -4.348007e-03  3.480690e-03
140       -7.477681e-03 -4.348007e-03
141        5.046485e-03 -7.477681e-03
142       -1.463392e-03  5.046485e-03
143        5.780361e-03 -1.463392e-03
144       -4.213262e-04  5.780361e-03
145       -1.005151e-04 -4.213262e-04
146       -5.562715e-04 -1.005151e-04
147       -3.214250e-04 -5.562715e-04
148       -1.769184e-04 -3.214250e-04
149       -4.669105e-05 -1.769184e-04
150       -2.606318e-04 -4.669105e-05
151        4.217512e-05 -2.606318e-04
152                  NA  4.217512e-05
> dum1 <- dum[2:length(myerror),]
> dum1
       lag(myerror, k = 1)       myerror
  [1,]        6.872779e-03 -1.056692e-03
  [2,]       -4.563367e-03  6.872779e-03
  [3,]        6.856671e-03 -4.563367e-03
  [4,]        6.641040e-03  6.856671e-03
  [5,]       -1.003707e-02  6.641040e-03
  [6,]        2.021082e-03 -1.003707e-02
  [7,]        2.984786e-03  2.021082e-03
  [8,]       -7.382399e-03  2.984786e-03
  [9,]        4.018786e-03 -7.382399e-03
 [10,]       -4.729827e-04  4.018786e-03
 [11,]       -4.578630e-03 -4.729827e-04
 [12,]        3.586138e-03 -4.578630e-03
 [13,]       -4.112538e-03  3.586138e-03
 [14,]        4.520527e-03 -4.112538e-03
 [15,]        5.580041e-03  4.520527e-03
 [16,]        5.893800e-03  5.580041e-03
 [17,]       -2.025169e-03  5.893800e-03
 [18,]       -9.940900e-04 -2.025169e-03
 [19,]       -5.329359e-03 -9.940900e-04
 [20,]       -8.192864e-03 -5.329359e-03
 [21,]        6.107547e-03 -8.192864e-03
 [22,]       -4.662151e-03  6.107547e-03
 [23,]        9.518516e-03 -4.662151e-03
 [24,]       -6.065105e-03  9.518516e-03
 [25,]        4.377404e-03 -6.065105e-03
 [26,]        5.347984e-03  4.377404e-03
 [27,]        4.587028e-03  5.347984e-03
 [28,]        4.600299e-03  4.587028e-03
 [29,]       -1.031034e-02  4.600299e-03
 [30,]       -1.177149e-02 -1.031034e-02
 [31,]        2.588730e-03 -1.177149e-02
 [32,]       -2.363345e-03  2.588730e-03
 [33,]       -6.794702e-03 -2.363345e-03
 [34,]       -4.015091e-03 -6.794702e-03
 [35,]       -1.426899e-02 -4.015091e-03
 [36,]       -8.020701e-03 -1.426899e-02
 [37,]        4.393461e-03 -8.020701e-03
 [38,]        2.383830e-03  4.393461e-03
 [39,]       -4.793787e-03  2.383830e-03
 [40,]        4.682138e-03 -4.793787e-03
 [41,]        1.131904e-02  4.682138e-03
 [42,]       -1.174245e-02  1.131904e-02
 [43,]        7.594905e-03 -1.174245e-02
 [44,]       -7.682225e-04  7.594905e-03
 [45,]        1.226997e-02 -7.682225e-04
 [46,]        1.738432e-03  1.226997e-02
 [47,]       -3.002166e-03  1.738432e-03
 [48,]       -4.541198e-03 -3.002166e-03
 [49,]       -2.284171e-03 -4.541198e-03
 [50,]        1.010774e-02 -2.284171e-03
 [51,]       -9.429433e-03  1.010774e-02
 [52,]        9.021839e-03 -9.429433e-03
 [53,]       -1.889345e-03  9.021839e-03
 [54,]        3.685190e-03 -1.889345e-03
 [55,]        7.551373e-03  3.685190e-03
 [56,]        2.881015e-03  7.551373e-03
 [57,]        1.023094e-02  2.881015e-03
 [58,]        1.706243e-03  1.023094e-02
 [59,]        2.506343e-03  1.706243e-03
 [60,]       -4.017594e-04  2.506343e-03
 [61,]        3.128426e-03 -4.017594e-04
 [62,]       -8.260763e-04  3.128426e-03
 [63,]        3.863288e-03 -8.260763e-04
 [64,]       -3.953867e-03  3.863288e-03
 [65,]       -3.649595e-03 -3.953867e-03
 [66,]       -1.978983e-03 -3.649595e-03
 [67,]       -1.237097e-02 -1.978983e-03
 [68,]        1.350011e-03 -1.237097e-02
 [69,]       -3.441294e-03  1.350011e-03
 [70,]        8.392931e-03 -3.441294e-03
 [71,]        3.335583e-03  8.392931e-03
 [72,]        2.107076e-03  3.335583e-03
 [73,]       -2.843325e-03  2.107076e-03
 [74,]        4.347607e-03 -2.843325e-03
 [75,]       -4.358485e-03  4.347607e-03
 [76,]       -3.416608e-03 -4.358485e-03
 [77,]       -1.262517e-02 -3.416608e-03
 [78,]       -4.680563e-03 -1.262517e-02
 [79,]        1.149263e-02 -4.680563e-03
 [80,]       -5.067454e-03  1.149263e-02
 [81,]        4.709811e-03 -5.067454e-03
 [82,]       -9.524361e-03  4.709811e-03
 [83,]        1.051634e-03 -9.524361e-03
 [84,]        5.080459e-04  1.051634e-03
 [85,]       -3.880017e-03  5.080459e-04
 [86,]        4.339371e-03 -3.880017e-03
 [87,]        4.656682e-03  4.339371e-03
 [88,]       -4.724552e-03  4.656682e-03
 [89,]        5.121346e-03 -4.724552e-03
 [90,]        1.020606e-02  5.121346e-03
 [91,]       -8.154485e-03  1.020606e-02
 [92,]        5.112360e-03 -8.154485e-03
 [93,]        6.104684e-03  5.112360e-03
 [94,]       -6.044696e-03  6.104684e-03
 [95,]        5.812427e-03 -6.044696e-03
 [96,]       -1.993035e-03  5.812427e-03
 [97,]        5.584207e-03 -1.993035e-03
 [98,]       -8.467960e-03  5.584207e-03
 [99,]       -2.099101e-03 -8.467960e-03
[100,]        4.767486e-03 -2.099101e-03
[101,]        8.612407e-03  4.767486e-03
[102,]        1.790582e-03  8.612407e-03
[103,]       -6.350732e-05  1.790582e-03
[104,]       -8.652564e-03 -6.350732e-05
[105,]       -3.150003e-03 -8.652564e-03
[106,]       -9.522174e-03 -3.150003e-03
[107,]       -1.400570e-03 -9.522174e-03
[108,]        1.641121e-03 -1.400570e-03
[109,]        2.991094e-03  1.641121e-03
[110,]       -7.208045e-03  2.991094e-03
[111,]        8.003592e-04 -7.208045e-03
[112,]       -7.206836e-04  8.003592e-04
[113,]        7.182488e-03 -7.206836e-04
[114,]        1.618764e-03  7.182488e-03
[115,]        1.888685e-03  1.618764e-03
[116,]       -6.959592e-03  1.888685e-03
[117,]        2.701193e-03 -6.959592e-03
[118,]       -9.984478e-04  2.701193e-03
[119,]        1.025233e-02 -9.984478e-04
[120,]       -7.737353e-03  1.025233e-02
[121,]       -1.825875e-03 -7.737353e-03
[122,]       -3.891099e-03 -1.825875e-03
[123,]        2.282560e-03 -3.891099e-03
[124,]       -9.564110e-03  2.282560e-03
[125,]        7.010294e-03 -9.564110e-03
[126,]        1.305853e-04  7.010294e-03
[127,]        4.391378e-03  1.305853e-04
[128,]       -3.793677e-03  4.391378e-03
[129,]        5.483231e-03 -3.793677e-03
[130,]        2.255261e-03  5.483231e-03
[131,]        4.045886e-03  2.255261e-03
[132,]        8.074259e-03  4.045886e-03
[133,]       -4.859698e-03  8.074259e-03
[134,]        8.022561e-04 -4.859698e-03
[135,]       -5.663137e-03  8.022561e-04
[136,]       -9.489638e-03 -5.663137e-03
[137,]       -1.828485e-03 -9.489638e-03
[138,]        3.480690e-03 -1.828485e-03
[139,]       -4.348007e-03  3.480690e-03
[140,]       -7.477681e-03 -4.348007e-03
[141,]        5.046485e-03 -7.477681e-03
[142,]       -1.463392e-03  5.046485e-03
[143,]        5.780361e-03 -1.463392e-03
[144,]       -4.213262e-04  5.780361e-03
[145,]       -1.005151e-04 -4.213262e-04
[146,]       -5.562715e-04 -1.005151e-04
[147,]       -3.214250e-04 -5.562715e-04
[148,]       -1.769184e-04 -3.214250e-04
[149,]       -4.669105e-05 -1.769184e-04
[150,]       -2.606318e-04 -4.669105e-05
[151,]        4.217512e-05 -2.606318e-04
> z <- as.data.frame(dum1)
> z
    lag(myerror, k = 1)       myerror
1          6.872779e-03 -1.056692e-03
2         -4.563367e-03  6.872779e-03
3          6.856671e-03 -4.563367e-03
4          6.641040e-03  6.856671e-03
5         -1.003707e-02  6.641040e-03
6          2.021082e-03 -1.003707e-02
7          2.984786e-03  2.021082e-03
8         -7.382399e-03  2.984786e-03
9          4.018786e-03 -7.382399e-03
10        -4.729827e-04  4.018786e-03
11        -4.578630e-03 -4.729827e-04
12         3.586138e-03 -4.578630e-03
13        -4.112538e-03  3.586138e-03
14         4.520527e-03 -4.112538e-03
15         5.580041e-03  4.520527e-03
16         5.893800e-03  5.580041e-03
17        -2.025169e-03  5.893800e-03
18        -9.940900e-04 -2.025169e-03
19        -5.329359e-03 -9.940900e-04
20        -8.192864e-03 -5.329359e-03
21         6.107547e-03 -8.192864e-03
22        -4.662151e-03  6.107547e-03
23         9.518516e-03 -4.662151e-03
24        -6.065105e-03  9.518516e-03
25         4.377404e-03 -6.065105e-03
26         5.347984e-03  4.377404e-03
27         4.587028e-03  5.347984e-03
28         4.600299e-03  4.587028e-03
29        -1.031034e-02  4.600299e-03
30        -1.177149e-02 -1.031034e-02
31         2.588730e-03 -1.177149e-02
32        -2.363345e-03  2.588730e-03
33        -6.794702e-03 -2.363345e-03
34        -4.015091e-03 -6.794702e-03
35        -1.426899e-02 -4.015091e-03
36        -8.020701e-03 -1.426899e-02
37         4.393461e-03 -8.020701e-03
38         2.383830e-03  4.393461e-03
39        -4.793787e-03  2.383830e-03
40         4.682138e-03 -4.793787e-03
41         1.131904e-02  4.682138e-03
42        -1.174245e-02  1.131904e-02
43         7.594905e-03 -1.174245e-02
44        -7.682225e-04  7.594905e-03
45         1.226997e-02 -7.682225e-04
46         1.738432e-03  1.226997e-02
47        -3.002166e-03  1.738432e-03
48        -4.541198e-03 -3.002166e-03
49        -2.284171e-03 -4.541198e-03
50         1.010774e-02 -2.284171e-03
51        -9.429433e-03  1.010774e-02
52         9.021839e-03 -9.429433e-03
53        -1.889345e-03  9.021839e-03
54         3.685190e-03 -1.889345e-03
55         7.551373e-03  3.685190e-03
56         2.881015e-03  7.551373e-03
57         1.023094e-02  2.881015e-03
58         1.706243e-03  1.023094e-02
59         2.506343e-03  1.706243e-03
60        -4.017594e-04  2.506343e-03
61         3.128426e-03 -4.017594e-04
62        -8.260763e-04  3.128426e-03
63         3.863288e-03 -8.260763e-04
64        -3.953867e-03  3.863288e-03
65        -3.649595e-03 -3.953867e-03
66        -1.978983e-03 -3.649595e-03
67        -1.237097e-02 -1.978983e-03
68         1.350011e-03 -1.237097e-02
69        -3.441294e-03  1.350011e-03
70         8.392931e-03 -3.441294e-03
71         3.335583e-03  8.392931e-03
72         2.107076e-03  3.335583e-03
73        -2.843325e-03  2.107076e-03
74         4.347607e-03 -2.843325e-03
75        -4.358485e-03  4.347607e-03
76        -3.416608e-03 -4.358485e-03
77        -1.262517e-02 -3.416608e-03
78        -4.680563e-03 -1.262517e-02
79         1.149263e-02 -4.680563e-03
80        -5.067454e-03  1.149263e-02
81         4.709811e-03 -5.067454e-03
82        -9.524361e-03  4.709811e-03
83         1.051634e-03 -9.524361e-03
84         5.080459e-04  1.051634e-03
85        -3.880017e-03  5.080459e-04
86         4.339371e-03 -3.880017e-03
87         4.656682e-03  4.339371e-03
88        -4.724552e-03  4.656682e-03
89         5.121346e-03 -4.724552e-03
90         1.020606e-02  5.121346e-03
91        -8.154485e-03  1.020606e-02
92         5.112360e-03 -8.154485e-03
93         6.104684e-03  5.112360e-03
94        -6.044696e-03  6.104684e-03
95         5.812427e-03 -6.044696e-03
96        -1.993035e-03  5.812427e-03
97         5.584207e-03 -1.993035e-03
98        -8.467960e-03  5.584207e-03
99        -2.099101e-03 -8.467960e-03
100        4.767486e-03 -2.099101e-03
101        8.612407e-03  4.767486e-03
102        1.790582e-03  8.612407e-03
103       -6.350732e-05  1.790582e-03
104       -8.652564e-03 -6.350732e-05
105       -3.150003e-03 -8.652564e-03
106       -9.522174e-03 -3.150003e-03
107       -1.400570e-03 -9.522174e-03
108        1.641121e-03 -1.400570e-03
109        2.991094e-03  1.641121e-03
110       -7.208045e-03  2.991094e-03
111        8.003592e-04 -7.208045e-03
112       -7.206836e-04  8.003592e-04
113        7.182488e-03 -7.206836e-04
114        1.618764e-03  7.182488e-03
115        1.888685e-03  1.618764e-03
116       -6.959592e-03  1.888685e-03
117        2.701193e-03 -6.959592e-03
118       -9.984478e-04  2.701193e-03
119        1.025233e-02 -9.984478e-04
120       -7.737353e-03  1.025233e-02
121       -1.825875e-03 -7.737353e-03
122       -3.891099e-03 -1.825875e-03
123        2.282560e-03 -3.891099e-03
124       -9.564110e-03  2.282560e-03
125        7.010294e-03 -9.564110e-03
126        1.305853e-04  7.010294e-03
127        4.391378e-03  1.305853e-04
128       -3.793677e-03  4.391378e-03
129        5.483231e-03 -3.793677e-03
130        2.255261e-03  5.483231e-03
131        4.045886e-03  2.255261e-03
132        8.074259e-03  4.045886e-03
133       -4.859698e-03  8.074259e-03
134        8.022561e-04 -4.859698e-03
135       -5.663137e-03  8.022561e-04
136       -9.489638e-03 -5.663137e-03
137       -1.828485e-03 -9.489638e-03
138        3.480690e-03 -1.828485e-03
139       -4.348007e-03  3.480690e-03
140       -7.477681e-03 -4.348007e-03
141        5.046485e-03 -7.477681e-03
142       -1.463392e-03  5.046485e-03
143        5.780361e-03 -1.463392e-03
144       -4.213262e-04  5.780361e-03
145       -1.005151e-04 -4.213262e-04
146       -5.562715e-04 -1.005151e-04
147       -3.214250e-04 -5.562715e-04
148       -1.769184e-04 -3.214250e-04
149       -4.669105e-05 -1.769184e-04
150       -2.606318e-04 -4.669105e-05
151        4.217512e-05 -2.606318e-04
> plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
> lines(lowess(z))
> abline(lm(z))
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/7dcfw1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/8gea31353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/fisher/rcomp/tmp/9u9up1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
> plot(mylm, las = 1, sub='Residual Diagnostics')
Warning messages:
1: In sqrt(crit * p * (1 - hh)/hh) : NaNs produced
2: In sqrt(crit * p * (1 - hh)/hh) : NaNs produced
> par(opar)
> dev.off()
null device 
          1 
> if (n > n25) {
+ postscript(file="/var/fisher/rcomp/tmp/10pjsb1353071906.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
+ grid()
+ dev.off()
+ }
null device 
          1 
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
> a<-table.row.end(a)
> myeq <- colnames(x)[1]
> myeq <- paste(myeq, '[t] = ', sep='')
> for (i in 1:k){
+ if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
+ myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
+ if (rownames(mysum$coefficients)[i] != '(Intercept)') {
+ myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
+ if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
+ }
+ }
> myeq <- paste(myeq, ' + e[t]')
> a<-table.row.start(a)
> a<-table.element(a, myeq)
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/11b2g01353071906.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,hyperlink('http://www.xycoon.com/ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Variable',header=TRUE)
> a<-table.element(a,'Parameter',header=TRUE)
> a<-table.element(a,'S.D.',header=TRUE)
> a<-table.element(a,'T-STAT<br />H0: parameter = 0',header=TRUE)
> a<-table.element(a,'2-tail p-value',header=TRUE)
> a<-table.element(a,'1-tail p-value',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:k){
+ a<-table.row.start(a)
+ a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
+ a<-table.element(a,mysum$coefficients[i,1])
+ a<-table.element(a, round(mysum$coefficients[i,2],6))
+ a<-table.element(a, round(mysum$coefficients[i,3],4))
+ a<-table.element(a, round(mysum$coefficients[i,4],6))
+ a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/12g7ov1353071906.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple R',1,TRUE)
> a<-table.element(a, sqrt(mysum$r.squared))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'R-squared',1,TRUE)
> a<-table.element(a, mysum$r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Adjusted R-squared',1,TRUE)
> a<-table.element(a, mysum$adj.r.squared)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (value)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[1])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[2])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
> a<-table.element(a, mysum$fstatistic[3])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'p-value',1,TRUE)
> a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
> a<-table.element(a, mysum$sigma)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
> a<-table.element(a, sum(myerror*myerror))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/13abcc1353071906.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, 'Time or Index', 1, TRUE)
> a<-table.element(a, 'Actuals', 1, TRUE)
> a<-table.element(a, 'Interpolation<br />Forecast', 1, TRUE)
> a<-table.element(a, 'Residuals<br />Prediction Error', 1, TRUE)
> a<-table.row.end(a)
> for (i in 1:n) {
+ a<-table.row.start(a)
+ a<-table.element(a,i, 1, TRUE)
+ a<-table.element(a,x[i])
+ a<-table.element(a,x[i]-mysum$resid[i])
+ a<-table.element(a,mysum$resid[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/fisher/rcomp/tmp/14baoz1353071906.tab") 
> if (n > n25) {
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'p-values',header=TRUE)
+ a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'breakpoint index',header=TRUE)
+ a<-table.element(a,'greater',header=TRUE)
+ a<-table.element(a,'2-sided',header=TRUE)
+ a<-table.element(a,'less',header=TRUE)
+ a<-table.row.end(a)
+ for (mypoint in kp3:nmkm3) {
+ a<-table.row.start(a)
+ a<-table.element(a,mypoint,header=TRUE)
+ a<-table.element(a,gqarr[mypoint-kp3+1,1])
+ a<-table.element(a,gqarr[mypoint-kp3+1,2])
+ a<-table.element(a,gqarr[mypoint-kp3+1,3])
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/fisher/rcomp/tmp/15qxre1353071906.tab") 
+ a<-table.start()
+ a<-table.row.start(a)
+ a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'Description',header=TRUE)
+ a<-table.element(a,'# significant tests',header=TRUE)
+ a<-table.element(a,'% significant tests',header=TRUE)
+ a<-table.element(a,'OK/NOK',header=TRUE)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'1% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant1)
+ a<-table.element(a,numsignificant1/numgqtests)
+ if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'5% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant5)
+ a<-table.element(a,numsignificant5/numgqtests)
+ if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.row.start(a)
+ a<-table.element(a,'10% type I error level',header=TRUE)
+ a<-table.element(a,numsignificant10)
+ a<-table.element(a,numsignificant10/numgqtests)
+ if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
+ a<-table.element(a,dum)
+ a<-table.row.end(a)
+ a<-table.end(a)
+ table.save(a,file="/var/fisher/rcomp/tmp/169pbg1353071906.tab") 
+ }
> 
> try(system("convert tmp/12zds1353071906.ps tmp/12zds1353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/2iqmw1353071906.ps tmp/2iqmw1353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/3p2fs1353071906.ps tmp/3p2fs1353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/4mcl11353071906.ps tmp/4mcl11353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/5nbkt1353071906.ps tmp/5nbkt1353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/647dx1353071906.ps tmp/647dx1353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/7dcfw1353071906.ps tmp/7dcfw1353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/8gea31353071906.ps tmp/8gea31353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/9u9up1353071906.ps tmp/9u9up1353071906.png",intern=TRUE))
character(0)
> try(system("convert tmp/10pjsb1353071906.ps tmp/10pjsb1353071906.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
 35.053   1.474  36.534