R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> y <- c(280.2
+ ,299.9
+ ,339.2
+ ,374.2
+ ,393.5
+ ,389.2
+ ,381.7
+ ,375.2
+ ,369
+ ,357.4
+ ,352.1
+ ,346.5
+ ,342.9
+ ,340.3
+ ,328.3
+ ,322.9
+ ,314.3
+ ,308.9
+ ,294
+ ,285.6
+ ,281.2
+ ,280.3
+ ,278.8
+ ,274.5
+ ,270.4
+ ,263.4
+ ,259.9
+ ,258
+ ,262.7
+ ,284.7
+ ,311.3
+ ,322.1
+ ,327
+ ,331.3
+ ,333.3
+ ,321.4
+ ,327
+ ,320
+ ,314.7
+ ,316.7
+ ,314.4
+ ,321.3
+ ,318.2
+ ,307.2
+ ,301.3
+ ,287.5
+ ,277.7
+ ,274.4
+ ,258.8
+ ,253.3
+ ,251
+ ,248.4
+ ,249.5
+ ,246.1
+ ,244.5
+ ,243.6
+ ,244
+ ,240.8
+ ,249.8
+ ,248
+ ,259.4
+ ,260.5
+ ,260.8
+ ,261.3
+ ,259.5
+ ,256.6
+ ,257.9
+ ,256.5
+ ,254.2
+ ,253.3
+ ,253.8
+ ,255.5
+ ,257.1
+ ,257.3
+ ,253.2
+ ,252.8
+ ,252
+ ,250.7
+ ,252.2
+ ,250
+ ,251
+ ,253.4
+ ,251.2
+ ,255.6
+ ,261.1
+ ,258.9
+ ,259.9
+ ,261.2
+ ,264.7
+ ,267.1
+ ,266.4
+ ,267.7
+ ,268.6
+ ,267.5
+ ,268.5
+ ,268.5
+ ,270.5
+ ,270.9
+ ,270.1
+ ,269.3
+ ,269.8
+ ,270.1
+ ,264.9
+ ,263.7
+ ,264.8
+ ,263.7
+ ,255.9
+ ,276.2
+ ,360.1
+ ,380.5
+ ,373.7
+ ,369.8
+ ,366.6
+ ,359.3
+ ,345.8
+ ,326.2
+ ,324.5
+ ,328.1
+ ,327.5
+ ,324.4
+ ,316.5
+ ,310.9
+ ,301.5
+ ,291.7
+ ,290.4
+ ,287.4
+ ,277.7
+ ,281.6
+ ,288
+ ,276
+ ,272.9
+ ,283
+ ,283.3
+ ,276.8
+ ,284.5
+ ,282.7
+ ,281.2
+ ,287.4
+ ,283.1
+ ,284
+ ,285.5
+ ,289.2
+ ,292.5
+ ,296.4
+ ,305.2
+ ,303.9
+ ,311.5
+ ,316.3
+ ,316.7
+ ,322.5
+ ,317.1
+ ,309.8
+ ,303.8
+ ,290.3
+ ,293.7
+ ,291.7
+ ,296.5
+ ,289.1
+ ,288.5
+ ,293.8
+ ,297.7
+ ,305.4
+ ,302.7
+ ,302.5
+ ,303
+ ,294.5
+ ,294.1
+ ,294.5
+ ,297.1
+ ,289.4
+ ,292.4
+ ,287.9
+ ,286.6
+ ,280.5
+ ,272.4
+ ,269.2
+ ,270.6
+ ,267.3
+ ,262.5
+ ,266.8
+ ,268.8
+ ,263.1
+ ,261.2
+ ,266
+ ,262.5
+ ,265.2
+ ,261.3
+ ,253.7
+ ,249.2
+ ,239.1
+ ,236.4
+ ,235.2
+ ,245.2
+ ,246.2
+ ,247.7
+ ,251.4
+ ,253.3
+ ,254.8
+ ,250
+ ,249.3
+ ,241.5
+ ,243.3
+ ,248
+ ,253
+ ,252.9
+ ,251.5
+ ,251.6
+ ,253.5
+ ,259.8
+ ,334.1
+ ,448
+ ,445.8
+ ,445
+ ,448.2
+ ,438.2
+ ,439.8
+ ,423.4
+ ,410.8
+ ,408.4
+ ,406.7
+ ,405.9
+ ,402.7
+ ,405.1
+ ,399.6
+ ,386.5
+ ,381.4
+ ,375.2
+ ,357.7
+ ,359
+ ,355
+ ,352.7
+ ,344.4
+ ,343.8
+ ,338
+ ,339
+ ,333.3
+ ,334.4
+ ,328.3
+ ,330.7
+ ,330
+ ,331.6
+ ,351.2
+ ,389.4
+ ,410.9
+ ,442.8
+ ,462.8
+ ,466.9
+ ,461.7
+ ,439.2
+ ,430.3
+ ,416.1
+ ,402.5
+ ,397.3
+ ,403.3
+ ,395.9
+ ,387.8
+ ,378.6
+ ,377.1
+ ,370.4
+ ,362
+ ,350.3
+ ,348.2
+ ,344.6
+ ,343.5
+ ,342.8
+ ,347.6
+ ,346.6
+ ,349.5
+ ,342.1
+ ,342
+ ,342.8
+ ,339.3
+ ,348.2
+ ,333.7
+ ,334.7
+ ,354
+ ,367.7
+ ,363.3
+ ,358.4
+ ,353.1
+ ,343.1
+ ,344.6
+ ,344.4
+ ,333.9
+ ,331.7
+ ,324.3
+ ,321.2
+ ,322.4
+ ,321.7
+ ,320.5
+ ,312.8
+ ,309.7
+ ,315.6
+ ,309.7
+ ,304.6
+ ,302.5
+ ,301.5
+ ,298.8
+ ,291.3
+ ,293.6
+ ,294.6
+ ,285.9
+ ,297.6
+ ,301.1
+ ,293.8
+ ,297.7
+ ,292.9
+ ,292.1
+ ,287.2
+ ,288.2
+ ,283.8
+ ,299.9
+ ,292.4
+ ,293.3
+ ,300.8
+ ,293.7
+ ,293.1
+ ,294.4
+ ,292.1
+ ,291.9
+ ,282.5
+ ,277.9
+ ,287.5
+ ,289.2
+ ,285.6
+ ,293.2
+ ,290.8
+ ,283.1
+ ,275
+ ,287.8
+ ,287.8
+ ,287.4
+ ,284
+ ,277.8
+ ,277.6
+ ,304.9
+ ,294
+ ,300.9
+ ,324
+ ,332.9
+ ,341.6
+ ,333.4
+ ,348.2
+ ,344.7
+ ,344.7
+ ,329.3
+ ,323.5
+ ,323.2
+ ,317.4
+ ,330.1
+ ,329.2
+ ,334.9
+ ,315.8
+ ,315.4
+ ,319.6
+ ,317.3
+ ,313.8
+ ,315.8
+ ,311.3)
> x <- c(87.28
+ ,87.28
+ ,87.09
+ ,86.92
+ ,87.59
+ ,90.72
+ ,90.69
+ ,90.3
+ ,89.55
+ ,88.94
+ ,88.41
+ ,87.82
+ ,87.07
+ ,86.82
+ ,86.4
+ ,86.02
+ ,85.66
+ ,85.32
+ ,85
+ ,84.67
+ ,83.94
+ ,82.83
+ ,81.95
+ ,81.19
+ ,80.48
+ ,78.86
+ ,69.47
+ ,68.77
+ ,70.06
+ ,73.95
+ ,75.8
+ ,77.79
+ ,81.57
+ ,83.07
+ ,84.34
+ ,85.1
+ ,85.25
+ ,84.26
+ ,83.63
+ ,86.44
+ ,85.3
+ ,84.1
+ ,83.36
+ ,82.48
+ ,81.58
+ ,80.47
+ ,79.34
+ ,82.13
+ ,81.69
+ ,80.7
+ ,79.88
+ ,79.16
+ ,78.38
+ ,77.42
+ ,76.47
+ ,75.46
+ ,74.48
+ ,78.27
+ ,80.7
+ ,79.91
+ ,78.75
+ ,77.78
+ ,81.14
+ ,81.08
+ ,80.03
+ ,78.91
+ ,78.01
+ ,76.9
+ ,75.97
+ ,81.93
+ ,80.27
+ ,78.67
+ ,77.42
+ ,76.16
+ ,74.7
+ ,76.39
+ ,76.04
+ ,74.65
+ ,73.29
+ ,71.79
+ ,74.39
+ ,74.91
+ ,74.54
+ ,73.08
+ ,72.75
+ ,71.32
+ ,70.38
+ ,70.35
+ ,70.01
+ ,69.36
+ ,67.77
+ ,69.26
+ ,69.8
+ ,68.38
+ ,67.62
+ ,68.39
+ ,66.95
+ ,65.21
+ ,66.64
+ ,63.45
+ ,60.66
+ ,62.34
+ ,60.32
+ ,58.64
+ ,60.46
+ ,58.59
+ ,61.87
+ ,61.85
+ ,67.44
+ ,77.06
+ ,91.74
+ ,93.15
+ ,94.15
+ ,93.11
+ ,91.51
+ ,89.96
+ ,88.16
+ ,86.98
+ ,88.03
+ ,86.24
+ ,84.65
+ ,83.23
+ ,81.7
+ ,80.25
+ ,78.8
+ ,77.51
+ ,76.2
+ ,75.04
+ ,74
+ ,75.49
+ ,77.14
+ ,76.15
+ ,76.27
+ ,78.19
+ ,76.49
+ ,77.31
+ ,76.65
+ ,74.99
+ ,73.51
+ ,72.07
+ ,70.59
+ ,71.96
+ ,76.29
+ ,74.86
+ ,74.93
+ ,71.9
+ ,71.01
+ ,77.47
+ ,75.78
+ ,76.6
+ ,76.07
+ ,74.57
+ ,73.02
+ ,72.65
+ ,73.16
+ ,71.53
+ ,69.78
+ ,67.98
+ ,69.96
+ ,72.16
+ ,70.47
+ ,68.86
+ ,67.37
+ ,65.87
+ ,72.16
+ ,71.34
+ ,69.93
+ ,68.44
+ ,67.16
+ ,66.01
+ ,67.25
+ ,70.91
+ ,69.75
+ ,68.59
+ ,67.48
+ ,66.31
+ ,64.81
+ ,66.58
+ ,65.97
+ ,64.7
+ ,64.7
+ ,60.94
+ ,59.08
+ ,58.42
+ ,57.77
+ ,57.11
+ ,53.31
+ ,49.96
+ ,49.4
+ ,48.84
+ ,48.3
+ ,47.74
+ ,47.24
+ ,46.76
+ ,46.29
+ ,48.9
+ ,49.23
+ ,48.53
+ ,48.03
+ ,54.34
+ ,53.79
+ ,53.24
+ ,52.96
+ ,52.17
+ ,51.7
+ ,58.55
+ ,78.2
+ ,77.03
+ ,76.19
+ ,77.15
+ ,75.87
+ ,95.47
+ ,109.67
+ ,112.28
+ ,112.01
+ ,107.93
+ ,105.96
+ ,105.06
+ ,102.98
+ ,102.2
+ ,105.23
+ ,101.85
+ ,99.89
+ ,96.23
+ ,94.76
+ ,91.51
+ ,91.63
+ ,91.54
+ ,85.23
+ ,87.83
+ ,87.38
+ ,84.44
+ ,85.19
+ ,84.03
+ ,86.73
+ ,102.52
+ ,104.45
+ ,106.98
+ ,107.02
+ ,99.26
+ ,94.45
+ ,113.44
+ ,157.33
+ ,147.38
+ ,171.89
+ ,171.95
+ ,132.71
+ ,126.02
+ ,121.18
+ ,115.45
+ ,110.48
+ ,117.85
+ ,117.63
+ ,124.65
+ ,109.59
+ ,111.27
+ ,99.78
+ ,98.21
+ ,99.2
+ ,97.97
+ ,89.55
+ ,87.91
+ ,93.34
+ ,94.42
+ ,93.2
+ ,90.29
+ ,91.46
+ ,89.98
+ ,88.35
+ ,88.41
+ ,82.44
+ ,79.89
+ ,75.69
+ ,75.66
+ ,84.5
+ ,96.73
+ ,87.48
+ ,82.39
+ ,83.48
+ ,79.31
+ ,78.16
+ ,72.77
+ ,72.45
+ ,68.46
+ ,67.62
+ ,68.76
+ ,70.07
+ ,68.55
+ ,65.3
+ ,58.96
+ ,59.17
+ ,62.37
+ ,66.28
+ ,55.62
+ ,55.23
+ ,55.85
+ ,56.75
+ ,50.89
+ ,53.88
+ ,52.95
+ ,55.08
+ ,53.61
+ ,58.78
+ ,61.85
+ ,55.91
+ ,53.32
+ ,46.41
+ ,44.57
+ ,50
+ ,50
+ ,53.36
+ ,46.23
+ ,50.45
+ ,49.07
+ ,45.85
+ ,48.45
+ ,49.96
+ ,46.53
+ ,50.51
+ ,47.58
+ ,48.05
+ ,46.84
+ ,47.67
+ ,49.16
+ ,55.54
+ ,55.82
+ ,58.22
+ ,56.19
+ ,57.77
+ ,63.19
+ ,54.76
+ ,55.74
+ ,62.54
+ ,61.39
+ ,69.6
+ ,79.23
+ ,80
+ ,93.68
+ ,107.63
+ ,100.18
+ ,97.3
+ ,90.45
+ ,80.64
+ ,80.58
+ ,75.82
+ ,85.59
+ ,89.35
+ ,89.42
+ ,104.73
+ ,95.32
+ ,89.27
+ ,90.44
+ ,86.97
+ ,79.98
+ ,81.22
+ ,87.35
+ ,83.64
+ ,82.22
+ ,94.4)
> par2 = '36'
> par1 = '0'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> par1 <- as.numeric(par1)
> par2 <- as.numeric(par2)
> x <- as.ts(x)
> y <- as.ts(y)
> mylm <- lm(y~x)
> cbind(mylm$resid)
           [,1]
1   -46.8336292
2   -27.1336292
3    12.5253234
4    47.8464916
5    65.8807112
6    55.6674387
7    48.2241155
8    42.4609130
9    37.6778313
10   27.2302582
11   22.9315472
12   18.4461896
13   16.2631079
14   14.1354140
15    2.9288883
16   -1.7532064
17   -9.6730856
18  -14.4307493
19  -28.7261975
20  -36.5027534
21  -39.5236196
22  -38.3265805
23  -38.1640630
24  -41.0282524
25  -43.7869031
26  -47.7263595
27  -33.4865420
28  -34.0640849
29  -31.8011845
30  -17.1502675
31    5.9546673
32   12.9951107
33   10.7538423
34   12.2200056
35   11.8206906
36   -1.5151200
37    3.8014964
38   -1.3281714
39   -5.4379600
40   -8.7466807
41   -8.8929648
42    0.2741045
43   -1.4278694
44  -10.7653519
45  -14.9650499
46  -26.6680108
47  -34.3331872
48  -42.9041234
49  -57.6728646
50  -61.3025324
51  -62.0533684
52  -63.2931268
53  -60.7195318
54  -62.3058763
55  -62.1111131
56  -61.1029964
57  -58.8515565
58  -69.2117171
59  -64.8025324
60  -65.1100451
61  -51.5185448
62  -48.5859971
63  -54.6337912
64  -54.0204377
65  -53.8367521
66  -54.6208207
67  -51.6205187
68  -50.9234796
69  -51.4665009
70  -63.6262785
71  -59.9901659
72  -55.2674068
73  -51.3058763
74  -48.7254535
75  -50.0671858
76  -53.6599751
77  -53.7987466
78  -52.4727246
79  -48.4033794
80  -47.7695427
81  -51.6815263
82  -50.2639230
83  -51.7649099
84  -44.6066422
85  -38.4831982
86  -37.9816072
87  -35.2057363
88  -33.8490595
89  -29.7067232
90  -26.0787273
91  -23.7748605
92  -25.2898049
93  -25.4099861
94  -23.8272874
95  -21.3914768
96  -22.8461796
97  -18.1256965
98  -14.4384459
99  -17.9400369
100 -12.7134109
101  -6.9424748
102  -9.8163718
103 -11.2001385
104  -9.2262414
105 -11.5646299
106  -9.1317802
107 -23.1284363
108  -2.7906518
109  70.5485836
110  72.7742445
111  38.2404298
112  31.6766233
113  26.5873989
114  21.2521923
115  10.7749514
116  -5.8967507
117  -4.1961467
118   1.6331381
119  -0.9505476
120  -0.6688358
121  -5.5649690
122  -8.4822703
123 -14.9917569
124 -22.0523814
125 -20.6130060
126 -21.1759065
127 -28.4010225
128 -22.3095221
129 -13.9447287
130 -28.7596731
131 -34.9768935
132 -23.0065613
133 -22.9332682
134 -33.0605791
135 -22.1488976
136 -25.4980616
137 -25.7511735
138 -16.4150609
139 -17.9190088
140 -14.2985256
141 -10.0024734
142  -8.8907109
143 -13.7710527
144  -7.1694617
145   1.4982925
146   5.9226426
147  15.2040523
148   7.7996625
149  11.3924518
150  15.6432877
151  11.2445767
152   6.7784133
153   3.7067112
154  -9.0942757
155  -6.6577802
156  -5.5783444
157   2.5277984
158  -1.4715976
159  -5.8122620
160  -4.6685558
161   2.4242335
162  13.1658849
163  13.2808293
164  15.9146659
165   4.5314442
166  -2.4193917
167  -0.1555853
168   3.0593591
169   8.0775664
170   2.5501745
171   3.2075362
172  -8.2070252
173  -7.3155249
174 -11.2240245
175 -17.2269854
176 -18.2165928
177 -13.9827562
178 -20.6266834
179 -24.2742565
180 -17.5749415
181 -15.5749415
182 -14.1714576
183 -12.5575002
184  -6.5106120
185  -8.7826161
186  -4.8357280
187  -1.5566752
188  -2.8277733
189  -6.2698076
190 -15.3118419
191 -16.9916607
192 -17.1336951
193  -6.1890828
194  -4.2822551
195  -1.8943196
196  -3.1251954
197  -1.8486395
198   0.9738176
199  -2.8815701
200 -15.5025763
201 -22.2635029
202 -19.4244295
203 -14.1954466
204  -7.7029593
205  -6.9150238
206 -21.2562112
207 -58.2794714
208 -54.1690788
209 -46.2821302
210  26.2042143
211 142.5224216
212 103.2936227
213  75.6666357
214  73.9357599
215  64.4458505
216  73.7538862
217  61.0756583
218  50.1759603
219  51.7055471
220  51.4791422
221  44.9547922
222  48.1403708
223  54.2432506
224  55.6578121
225  45.3349720
226  46.3749514
227  39.9482445
228  22.6182747
229  35.8392809
230  26.9272973
231  25.4774483
232  22.7317682
233  20.7148498
234  17.1063502
235  13.0054442
236 -22.5254096
237 -25.0716128
238 -35.9513506
239 -33.6269196
240 -19.6665380
241  -8.9793684
242 -25.2557404
243 -69.9738009
244 -29.6760178
245 -44.0809087
246 -24.1942621
247  54.0389047
248  61.4778162
249  48.1216624
250  50.0469184
251  45.2363639
252  17.7127798
253  12.9284092
254   5.6660536
255  26.7177736
256  15.4438766
257  27.9510653
258  29.4171477
259  20.8468155
260  14.7705616
261  18.9778313
262  19.9761594
263   6.1176707
264   2.9773083
265   4.5821621
266  14.8798052
267  11.6694126
268  17.3654648
269  13.0449006
270  12.8315472
271  24.9102170
272  26.2277394
273  43.0624820
274  28.6191587
275  12.9184147
276   9.1131999
277  40.2885259
278  45.5046783
279  38.5454236
280  41.1234895
281  33.2960976
282  44.9790173
283  45.3835691
284  42.4215746
285  41.8085232
286  32.2548073
287  26.6799233
288  30.7515444
289  36.1915239
290  46.9692068
291  38.8724696
292  29.7269515
293  28.2400839
294  42.4792164
295  38.1160139
296  34.8446948
297  32.1443928
298  40.5152480
299  27.3664669
300  31.4234456
301  28.3993976
302  22.4765575
303  24.4092672
304  22.1093482
305  26.0313413
306  34.8244326
307  43.0789734
308  45.7551464
309  30.5966577
310  31.5966577
311  20.8488636
312  50.4190338
313  34.9465067
314  38.4536364
315  52.0369391
316  40.0249556
317  36.5722267
318  44.3522665
319  34.5331533
320  39.8685808
321  29.5806454
322  27.2666069
323  35.2985506
324  34.1836062
325  18.5303543
326  25.6013715
327  18.6672329
328  14.8023585
329   3.7173839
330   6.2777874
331  22.2039494
332  19.9525095
333   3.7057833
334  -0.3216086
335 -16.0321412
336  -6.9253725
337 -19.2800753
338 -38.2246656
339 -41.4793465
340 -18.5046244
341  -4.3636581
342   0.3775293
343  33.7108210
344  30.3241745
345  39.3168828
346   5.4591601
347  -7.4443238
348  -7.8765695
349 -42.6005956
350 -12.1229937
351  -1.5931858
352   1.8964216
353 -10.6479696
354   2.1577092
355   4.0150709
356  -9.8658749
357  -6.3568523
358  -1.6741536
359 -29.1849072
> library(lattice)
> postscript(file="/var/www/html/rcomp/tmp/1561w1256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(y,type='l',main='Run Sequence Plot of Y[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2b37m1256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,type='l',main='Run Sequence Plot of X[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/3qdep1256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(x,y,main='Scatter Plot',xlab='X[t]',ylab='Y[t]')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4nam21256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/57lby1256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(mylm$resid,main='Histogram of e[t]')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6dip41256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> if (par1 > 0)
+ {
+ densityplot(~mylm$resid,col='black',main=paste('Density Plot of e[t]   bw = ',par1),bw=par1)
+ } else {
+ densityplot(~mylm$resid,col='black',main='Density Plot of e[t]')
+ }
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/7hz1m1256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> qqnorm(mylm$resid,main='QQ plot of e[t]')
> qqline(mylm$resid)
> grid()
> dev.off()
null device 
          1 
> if (par2 > 0)
+ {
+ postscript(file="/var/www/html/rcomp/tmp/87sup1256915370.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
+ grid()
+ dev.off()
+ }
null device 
          1 
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  44.57   66.80   76.65   77.47   86.98  172.00 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'c',1,TRUE)
> a<-table.element(a,mylm$coeff[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'b',1,TRUE)
> a<-table.element(a,mylm$coeff[[2]])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/934061256915370.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# observations',header=TRUE)
> a<-table.element(a,length(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'minimum',header=TRUE)
> a<-table.element(a,min(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q1',header=TRUE)
> a<-table.element(a,quantile(mylm$resid,0.25))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'median',header=TRUE)
> a<-table.element(a,median(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'mean',header=TRUE)
> a<-table.element(a,mean(mylm$resid))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'Q3',header=TRUE)
> a<-table.element(a,quantile(mylm$resid,0.75))
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'maximum',header=TRUE)
> a<-table.element(a,max(mylm$resid))
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/10fp431256915370.tab") 
> 
> system("convert tmp/1561w1256915370.ps tmp/1561w1256915370.png")
> system("convert tmp/2b37m1256915370.ps tmp/2b37m1256915370.png")
> system("convert tmp/3qdep1256915370.ps tmp/3qdep1256915370.png")
> system("convert tmp/4nam21256915370.ps tmp/4nam21256915370.png")
> system("convert tmp/57lby1256915370.ps tmp/57lby1256915370.png")
> system("convert tmp/6dip41256915370.ps tmp/6dip41256915370.png")
> system("convert tmp/7hz1m1256915370.ps tmp/7hz1m1256915370.png")
> system("convert tmp/87sup1256915370.ps tmp/87sup1256915370.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.790   1.266   2.417