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(99,98.6,98.6,98.5,98.9,99.4,99.8,99.9,100,100.1,100.1,100.2,100.3,100,99.9,99.4,99.8,99.6,100,99.9,100.3,100.6,100.7,100.8,100.8,100.6,101.1,101.1,100.9,101.1,101.2,101.4,101.9,102.1,102.1,103,103.4,103.2,103.1,103,103.7,103.4,103.5,103.8,104,104.2,104.4,104.4,104.9,105.3,105.2,105.4,105.4,105.5,105.7,105.6,105.8,105.4,105.5,105.8,106.1,106,105.5,105.4,106,106.1,106.4,106,106,106,106,106.1,106.1)
> x <- c(8.4,8.4,8.4,8.6,8.9,8.8,8.3,7.5,7.2,7.4,8.8,9.3,9.3,8.7,8.2,8.3,8.5,8.6,8.5,8.2,8.1,7.9,8.6,8.7,8.7,8.5,8.4,8.5,8.7,8.7,8.6,8.5,8.3,8,8.2,8.1,8.1,8,7.9,7.9,8,8,7.9,8,7.7,7.2,7.5,7.3,7,7,7,7.2,7.3,7.1,6.8,6.4,6.1,6.5,7.7,7.9,7.5,6.9,6.6,6.9,7.7,8,8,7.7,7.3,7.4,8.1,8.3,8.2)
> 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  -2.508901390
2  -2.908901390
3  -2.908901390
4  -2.490824430
5  -1.313708991
6  -1.072747471
7  -1.967939870
8  -3.940247707
9  -4.617363146
10 -3.999286187
11 -0.372747471
12  1.022444928
13  1.122444928
14 -0.731785951
15 -2.126978349
16 -2.367939870
17 -1.449862910
18 -1.390824430
19 -1.249862910
20 -2.126978349
21 -1.986016829
22 -2.204093788
23 -0.290824430
24  0.068214049
25  0.068214049
26 -0.649862910
27 -0.408901390
28 -0.149862910
29  0.168214049
30  0.368214049
31  0.209175570
32  0.150137090
33  0.132060130
34 -0.445055309
35  0.073021651
36  0.713983171
37  1.113983171
38  0.654944691
39  0.295906212
40  0.195906212
41  1.154944691
42  0.854944691
43  0.695906212
44  1.254944691
45  0.677829252
46 -0.417363146
47  0.559752293
48  0.041675333
49 -0.235440106
50  0.164559894
51  0.064559894
52  0.782636854
53  1.041675333
54  0.623598374
55  0.046482935
56 -1.089670984
57 -1.666786423
58 -1.030632504
59  2.177829252
60  2.995906212
61  2.259752293
62  0.605521414
63 -0.671594025
64  0.005521414
65  2.677829252
66  3.554944691
67  3.854944691
68  2.677829252
69  1.641675333
70  1.900713813
71  3.713983171
72  4.332060130
73  4.073021651
> library(lattice)
> postscript(file="/var/www/html/rcomp/tmp/1atkc1257603554.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/268da1257603554.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/3l7ov1257603554.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/438o91257603554.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(mylm$resid,type='l',main='Run Sequence Plot of e[t]',xlab='time or index',ylab='value')
> grid()
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/5ivpg1257603554.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> hist(mylm$resid,main='Histogram of e[t]')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/6ymnv1257603554.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/79nr11257603554.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/8shy21257603554.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
+ acf(mylm$resid,lag.max=par2,main='Residual Autocorrelation Function')
+ grid()
+ dev.off()
+ }
null device 
          1 
> summary(x)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   6.10    7.40    8.00    7.93    8.50    9.30 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Model: Y[t] = c + b X[t] + e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'c',1,TRUE)
> a<-table.element(a,mylm$coeff[[1]])
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'b',1,TRUE)
> a<-table.element(a,mylm$coeff[[2]])
> a<-table.row.end(a)
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/9zes31257603554.tab") 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Descriptive Statistics about e[t]',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'# observations',header=TRUE)
> a<-table.element(a,length(mylm$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/10drkt1257603554.tab") 
> 
> system("convert tmp/1atkc1257603554.ps tmp/1atkc1257603554.png")
> system("convert tmp/268da1257603554.ps tmp/268da1257603554.png")
> system("convert tmp/3l7ov1257603554.ps tmp/3l7ov1257603554.png")
> system("convert tmp/438o91257603554.ps tmp/438o91257603554.png")
> system("convert tmp/5ivpg1257603554.ps tmp/5ivpg1257603554.png")
> system("convert tmp/6ymnv1257603554.ps tmp/6ymnv1257603554.png")
> system("convert tmp/79nr11257603554.ps tmp/79nr11257603554.png")
> system("convert tmp/8shy21257603554.ps tmp/8shy21257603554.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.648   1.188   2.407