R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> y <- c(79717000,82855667,79346667,76270333,89532667,83541333,82456000,85818333,92106667,96873333,96580000,87769000,88396000,90995667,92785000,98112667,105779667,103660333,105435000,105204000,107466333,118554333,123614333,125620000,121524333,130830333,138871333,135215667,122096333,130005333,126566000,134808667,138761333,133778333,122598667,116446000,100745333,104419333,103477000,102054333,102446667,99528000,106549667,107587333,117091333,114029667,109721333,114697000,115063667,121234667,118393000,121308000,117579000,117414000,117740333,109417000,116442333,113311000,109391333,107198667)
> x <- c(60635408600.00,64463389370.00,66750859382.00,69032584255.95,72841303906.58,72838685607.53,75887977453.76,78936158549.66,81986612544.38,85038924238.38,87328862789.67,85794984680.72,88082838620.17,91885510657.40,96355573323.80,101321342608.80,105791395836.80,113241494103.00,117215849652.80,120940898880.60,125658810316.50,130873880200.80,139583536623.40,148226520849.00,153789461350.00,161871513310.40,171781295610.40,178996585758.20,176620960002.00,186604680395.00,187772917033.20,193109744878.60,197630528464.00,206483683756.40,203906590621.60,206783719069.34,206759082201.76,211878483671.40,214009149959.00,217203709135.40,222331811922.60,232825724880.00,241180274038.70,248494123822.10,253049202253.08,256922518700.16,254451243638.75,262662316800.94,268926171539.67,272037080259.13,281118338865.04,286389613939.39,296190694318.91,307294826961.69,309697986635.60,314369521231.48,317533640477.42,327005697520.69,332458473876.00,339794119726.27)
> 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  -16112644.5
2  -13373876.4
3  -17121842.3
4  -20436542.1
5   -7572094.9
6  -13563155.4
7  -14967039.8
8  -11923142.1
9   -5953481.0
10  -1505681.8
11  -2038238.6
12 -10688998.5
13 -10301004.5
14  -8098592.5
15  -6776235.1
16  -1967328.8
17   5232696.6
18   2335070.7
19   3694547.3
20   3074401.3
21   4843866.7
22  15387062.2
23  19537187.5
24  20639945.0
25  15963132.4
26  24424821.9
27  31430573.3
28  27021145.1
29  14149986.4
30  21016013.7
31  17454638.1
32  25139780.9
33  28620172.7
34  22712307.1
35  11801863.1
36   5348630.2
37 -10349463.1
38  -7210273.3
39  -8375191.4
40 -10131585.5
41 -10274970.7
42 -14289908.9
43  -8141019.5
44  -7867411.9
45   1160731.2
46  -2305569.9
47  -6355736.4
48  -2237858.3
49  -2525559.6
50   3320452.1
51   -469909.9
52   1894414.0
53  -2858478.8
54  -4183498.0
55  -4108216.7
56 -12919572.5
57  -6224786.6
58 -10345640.2
59 -14834944.3
60 -17793945.7
> library(lattice)
> postscript(file="/var/wessaorg/rcomp/tmp/1rf571321028948.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/29r071321028948.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/33pfy1321028948.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/4la8n1321028948.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/54p2l1321028948.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(mylm$resid,main='Histogram of e[t]')
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/6xe521321028948.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/7rz6q1321028949.ps",horizontal=F,onefile=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/wessaorg/rcomp/tmp/8uxam1321028949.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
+ grid()
+ dev.off()
+ }
null device 
          1 
> summary(x)
     Min.   1st Qu.    Median      Mean   3rd Qu.      Max. 
6.064e+10 1.001e+11 1.872e+11 1.830e+11 2.534e+11 3.398e+11 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'c',1,TRUE)
> a<-table.element(a,mylm$coeff[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'b',1,TRUE)
> a<-table.element(a,mylm$coeff[[2]])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/9cgtm1321028949.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# observations',header=TRUE)
> a<-table.element(a,length(mylm$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/wessaorg/rcomp/tmp/107uta1321028949.tab") 
> 
> try(system("convert tmp/1rf571321028948.ps tmp/1rf571321028948.png",intern=TRUE))
character(0)
> try(system("convert tmp/29r071321028948.ps tmp/29r071321028948.png",intern=TRUE))
character(0)
> try(system("convert tmp/33pfy1321028948.ps tmp/33pfy1321028948.png",intern=TRUE))
character(0)
> try(system("convert tmp/4la8n1321028948.ps tmp/4la8n1321028948.png",intern=TRUE))
character(0)
> try(system("convert tmp/54p2l1321028948.ps tmp/54p2l1321028948.png",intern=TRUE))
character(0)
> try(system("convert tmp/6xe521321028948.ps tmp/6xe521321028948.png",intern=TRUE))
character(0)
> try(system("convert tmp/7rz6q1321028949.ps tmp/7rz6q1321028949.png",intern=TRUE))
character(0)
> try(system("convert tmp/8uxam1321028949.ps tmp/8uxam1321028949.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.203   0.382   2.600