I wrote (in part)
> 
> I am running a linear discriminant analysis as follows
> 
> <<<<
> discrim1 <- lda(normvar~ mafmahal+  mrfmahal+ mffmahal+ bafmahal+ brfmahal+ 
>       cofmahal+ bmfmahal+ cfmahal+ fractmahal+ antmahal+ absmifmahal+ absifmahal, subset = train)
> prediction <- predict(discrim1, traintest1[-train,])$class
> 
> When I do this, I get a warning message:
> 
> <<<
> Warning message:
> 'newdata' had 795 rows but variable(s) found have 796 rows 
> 
> However, when I look at 'newdata' (i.e. traintest1) with dim, I find it has 796 rows:
> 
> <<<
>> dim(traintest1)
> [1] 796 612
> 

Erik Iverson asked:

What happens when you do

dim(traintest1[-train,])

------------
That also gives 796 rows, but 611 columns.

So, I also tried:
prediction <- predict(discrim1, traintest1, subset = (train == F))$class

which also gave 796 rows.... even though, when I do
table(train) it shows 


FALSE  TRUE 
  396   400 

Peter

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