source('/home/pw/wessanet/cretab')


RC.capture <- function (expression, collapse = NULL) {
    resultConn <- textConnection('RC.resultText', open = 'w', local=TRUE)
    sink(resultConn)
    on.exit(function() {
        sink()
        close(resultConn)
    })
    expression
    on.exit(NULL)
    sink()
    close(resultConn)
    return(paste(c(RC.resultText, ''), collapse = collapse, sep = ''))
}
RC.texteval <- function (sourceText, collapse = NULL, echo = TRUE) {
    sourceConn <- textConnection(sourceText, open = 'r')
    on.exit(close(sourceConn))
    result <- RC.capture(source(file = sourceConn, local = FALSE, echo = echo, print.eval = TRUE), collapse = collapse)
    on.exit(NULL)
    close(sourceConn)
    res <- ''
    for(i in 1:length(result)) {
      if (result[i]!='') res <- paste(res,result[i],'
',sep='')
    }
    return(res)
}


myrfcuid = 'r0652316'

x <- array(list(14,22,13,22,19,24,16,24,17,21,17,26,17,21,NA,21,15,24,NA,26,20,20,16,25,15,22,NA,21,19,20,NA,24,15,19,NA,27,15,23,17,28,19,21,17,23,NA,19,15,25,20,19,16,24,18,21,14,24,15,21,16,24,14,22,17,25,20,22,NA,25,NA,19,NA,NA,16,21,NA,25,16,21,NA,25,16,21,16,24,10,20,NA,26,19,22,16,26,19,22,NA,25,16,24,NA,26,15,21,NA,23,18,19,16,24,17,19,15,24,19,23,16,25,17,21,16,25,NA,21,13,24,19,19,15,28,20,21,17,27,5,19,NA,NA,19,21,13,23,16,21,17,23,15,23,NA,24,16,19,14,24,18,19,14,22,16,19,18,25,15,18,NA,25,17,22,17,28,NA,18,13,22,20,22,16,28,19,18,15,25,7,22,15,24,13,22,NA,24,16,19,15,23,16,22,13,25,NA,25,NA,NA,18,19,17,26,18,19,NA,25,16,19,NA,27,17,19,11,26,19,21,14,23,16,21,13,25,19,20,NA,21,13,19,17,22,16,19,16,24,13,22,NA,25,12,26,17,27,17,19,16,24,17,21,16,26,17,21,16,21,16,20,15,27,16,23,12,22,14,22,17,23,16,22,14,24,13,22,14,25,16,21,16,24,14,21,NA,23,20,22,NA,28,12,23,NA,NA,13,18,NA,24,18,24,NA,26,14,22,15,22,19,21,16,25,18,21,14,25,14,21,15,24,18,23,17,24,19,21,NA,26,15,23,10,21,14,21,NA,25,17,19,17,25,19,21,NA,26,13,21,20,25,19,21,17,26,18,23,18,27,20,23,NA,25,15,20,17,NA,15,20,14,20,15,19,NA,24,20,23,17,26,15,22,NA,25,19,19,17,25,18,23,NA,24,18,22,16,26,15,22,18,25,20,21,18,28,17,21,16,27,12,21,NA,25,18,21,NA,26,19,22,15,26,20,25,13,26,NA,21,NA,NA,17,23,NA,28,15,19,NA,NA,16,22,NA,21,18,20,NA,25,18,21,16,25,14,25,NA,24,15,21,NA,24,12,19,NA,24,17,23,12,23,14,22,NA,23,18,21,16,24,17,24,16,24,17,21,NA,25,20,19,16,28,16,18,14,23,14,19,15,24,15,20,14,23,18,19,NA,24,20,22,15,25,17,21,NA,24,17,22,15,23,17,24,16,23,17,28,NA,25,15,19,NA,21,17,18,NA,22,18,23,11,19,17,19,NA,24,20,23,18,25,15,19,NA,21,16,22,11,22,15,21,NA,23,18,19,18,27,11,22,NA,NA,15,21,15,26,18,23,19,29,20,22,17,28,19,19,NA,24,14,19,14,25,16,21,NA,25,15,22,13,22,17,21,17,25,18,20,14,26,20,23,19,26,17,22,14,24,18,23,NA,25,15,22,NA,19,16,21,16,25,11,20,16,23,15,18,15,25,18,18,12,25,17,20,NA,26,16,19,17,27,12,21,NA,24,19,24,NA,22,18,19,18,25,15,20,15,24,17,19,18,23,19,23,15,27,18,22,NA,24,19,21,NA,24,16,24,NA,21,16,21,16,25,16,21,NA,25,14,22,16,23),dim=c(4,169),dimnames=list(c('ITHSUM','Bevr_Leeftijd','TVDC','SKEOUSUM'),1:169))
 y <- array(NA,dim=c(4,169),dimnames=list(c('ITHSUM','Bevr_Leeftijd','TVDC','SKEOUSUM'),1:169))
 for (i in 1:dim(x)[1])
 {
 	for (j in 1:dim(x)[2])
 	{
 		y[i,j] <- as.numeric(x[i,j])
 	}
 }
par5 = ''
par4 = ''
par3 = 'No Linear Trend'
par2 = 'Do not include Seasonal Dummies'
par1 = '1'
par5 <- ''
par4 <- ''
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
#'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 12 Sep 2016 10:14:58 +0200)
#Author: root
#To cite this work: Wessa P., (2016), Multiple Regression (v1.0.40) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_multipleregression.wasp/
#Source of accompanying publication: Office for Research, Development, and Education
#
library(lattice)
library(lmtest)
library(car)
library(MASS)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
mywarning <- ''
par1 <- as.numeric(par1)
if(is.na(par1)) {
par1 <- 1
mywarning = 'Warning: you did not specify the column number of the endogenous series! The first column was selected by default.'
}
if (par4=='') par4 <- 0
par4 <- as.numeric(par4)
if (par5=='') par5 <- 0
par5 <- as.numeric(par5)
x <- na.omit(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'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'Seasonal Differences (s=12)'){
(n <- n - 12)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B12)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+12,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'First and Seasonal Differences (s=12)'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
(n <- n - 12)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B12)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+12,j] - x[i,j]
}
}
x <- x2
}
if(par4 > 0) {
x2 <- array(0, dim=c(n-par4,par4), dimnames=list(1:(n-par4), paste(colnames(x)[par1],'(t-',1:par4,')',sep='')))
for (i in 1:(n-par4)) {
for (j in 1:par4) {
x2[i,j] <- x[i+par4-j,par1]
}
}
x <- cbind(x[(par4+1):n,], x2)
n <- n - par4
}
if(par5 > 0) {
x2 <- array(0, dim=c(n-par5*12,par5), dimnames=list(1:(n-par5*12), paste(colnames(x)[par1],'(t-',1:par5,'s)',sep='')))
for (i in 1:(n-par5*12)) {
for (j in 1:par5) {
x2[i,j] <- x[i+par5*12-j*12,par1]
}
}
x <- cbind(x[(par5*12+1):n,], x2)
n <- n - par5*12
}
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[n,]))
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
print(x)
(k <- length(x[n,]))
head(x)
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
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
}
postscript(file="/home/pw/wessanet/rcomp/tmp/12dha1485164909.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$resid)
grid()
dev.off()
postscript(file="/home/pw/wessanet/rcomp/tmp/2bs6k1485164909.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
postscript(file="/home/pw/wessanet/rcomp/tmp/39azx1485164909.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
sresid <- studres(mylm)
hist(sresid, freq=FALSE, main='Distribution of Studentized Residuals')
xfit<-seq(min(sresid),max(sresid),length=40)
yfit<-dnorm(xfit)
lines(xfit, yfit)
grid()
dev.off()
postscript(file="/home/pw/wessanet/rcomp/tmp/4q1c01485164909.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
postscript(file="/home/pw/wessanet/rcomp/tmp/5umxb1485164909.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
qqPlot(mylm, main='QQ Plot')
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
postscript(file="/home/pw/wessanet/rcomp/tmp/6vjq01485164909.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
print(z)
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()
postscript(file="/home/pw/wessanet/rcomp/tmp/726qm1485164909.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()
postscript(file="/home/pw/wessanet/rcomp/tmp/8zi3h1485164909.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()
postscript(file="/home/pw/wessanet/rcomp/tmp/95fdq1485164909.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')
par(opar)
dev.off()
if (n > n25) {
postscript(file="/home/pw/wessanet/rcomp/tmp/10do501485164909.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()
}

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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, mywarning)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/113cw01485164909.tab") 
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Multiple Linear Regression - Ordinary Least Squares', 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT<br />H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,formatC(signif(mysum$coefficients[i,1],5),format='g',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,2],5),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,3],4),format='e',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4],4),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4]/2,4),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/12l6ka1485164909.tab") 
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a,formatC(signif(sqrt(mysum$r.squared),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$adj.r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a,formatC(signif(mysum$fstatistic[1],6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a,formatC(signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6),format='g',flag=' '))
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,formatC(signif(mysum$sigma,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a,formatC(signif(sum(myerror*myerror),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/13a28p1485164909.tab") 
myr <- as.numeric(mysum$resid)
myr
if(n < 200) {
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,formatC(signif(x[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(x[i]-mysum$resid[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$resid[i],6),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/14l9521485164909.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,formatC(signif(gqarr[mypoint-kp3+1,1],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,2],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,3],6),format='g',flag=' '))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/15x4e71485164909.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,signif(numsignificant1,6))
a<-table.element(a,formatC(signif(numsignificant1/numgqtests,6),format='g',flag=' '))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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="/home/pw/wessanet/rcomp/tmp/16j92u1485164909.tab") 
}
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of fitted values',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_fitted <- resettest(mylm,power=2:3,type='fitted')
a<-table.element(a,paste('<pre>',RC.texteval('reset_test_fitted'),'</pre>',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of regressors',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_regressors <- resettest(mylm,power=2:3,type='regressor')
a<-table.element(a,paste('<pre>',RC.texteval('reset_test_regressors'),'</pre>',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of principal components',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_principal_components <- resettest(mylm,power=2:3,type='princomp')
a<-table.element(a,paste('<pre>',RC.texteval('reset_test_principal_components'),'</pre>',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/1788i71485164909.tab") 
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variance Inflation Factors (Multicollinearity)',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
vif <- vif(mylm)
a<-table.element(a,paste('<pre>',RC.texteval('vif'),'</pre>',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file="/home/pw/wessanet/rcomp/tmp/18ihof1485164909.tab") 

try(system("convert /home/pw/wessanet/rcomp/tmp/12dha1485164909.ps /home/pw/wessanet/rcomp/tmp/12dha1485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/2bs6k1485164909.ps /home/pw/wessanet/rcomp/tmp/2bs6k1485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/39azx1485164909.ps /home/pw/wessanet/rcomp/tmp/39azx1485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/4q1c01485164909.ps /home/pw/wessanet/rcomp/tmp/4q1c01485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/5umxb1485164909.ps /home/pw/wessanet/rcomp/tmp/5umxb1485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/6vjq01485164909.ps /home/pw/wessanet/rcomp/tmp/6vjq01485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/726qm1485164909.ps /home/pw/wessanet/rcomp/tmp/726qm1485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/8zi3h1485164909.ps /home/pw/wessanet/rcomp/tmp/8zi3h1485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/95fdq1485164909.ps /home/pw/wessanet/rcomp/tmp/95fdq1485164909.png",intern=TRUE))
try(system("convert /home/pw/wessanet/rcomp/tmp/10do501485164909.ps /home/pw/wessanet/rcomp/tmp/10do501485164909.png",intern=TRUE))