R version 2.6.2 (2008-02-08)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- array(list(56421,53152,53536,52408,41454,38271,35306,26414,31917,38030,27534,18387,50556,43901,48572,43899,37532,40357,35489,29027,34485,42598,30306,26451,47460,50104,61465,53726,39477,43895,31481,29896,33842,39120,33702,25094,51442,45594,52518,48564,41745,49585,32747,33379,35645,37034,35681,20972,58552,54955,65540,51570,51145,46641,35704,33253,35193,41668,34865,21210,56126,49231,59723,48103,47472,50497,40059,34149,36860,46356,36577),dim=c(1,71),dimnames=list(c('Inschrijvingen'),1:71))
>  y <- array(NA,dim=c(1,71),dimnames=list(c('Inschrijvingen'),1:71))
>  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'
> #'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
> 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
   Inschrijvingen
1           56421
2           53152
3           53536
4           52408
5           41454
6           38271
7           35306
8           26414
9           31917
10          38030
11          27534
12          18387
13          50556
14          43901
15          48572
16          43899
17          37532
18          40357
19          35489
20          29027
21          34485
22          42598
23          30306
24          26451
25          47460
26          50104
27          61465
28          53726
29          39477
30          43895
31          31481
32          29896
33          33842
34          39120
35          33702
36          25094
37          51442
38          45594
39          52518
40          48564
41          41745
42          49585
43          32747
44          33379
45          35645
46          37034
47          35681
48          20972
49          58552
50          54955
51          65540
52          51570
53          51145
54          46641
55          35704
56          33253
57          35193
58          41668
59          34865
60          21210
61          56126
62          49231
63          59723
64          48103
65          47472
66          50497
67          40059
68          34149
69          36860
70          46356
71          36577
> k <- length(x[1,])
> df <- as.data.frame(x)
> (mylm <- lm(df))
Error in lm.fit(x, y, offset = offset, singular.ok = singular.ok, ...) : 
  incompatible dimensions
Calls: lm -> lm.fit
Execution halted