R help - Aug 2007 - kernlab ksvm() cross-validation prediction response vector

Hello,

I would like to know, whether for the support vector classification function
ksvm()
the response values stored in object at ymatrix are cross validated
outputs/predictions:

Example code from package kernlab, function ksvm:
library(kernlab)
## train a support vector machine
filter <-
ksvm(type~.,data=spam,kernel="rbfdot",kpar=list(sigma=0.05),C=5,cross=3)
filter
filter at ymatrix

if not:
what is the easiest way to obtain x-fold cross validated
predicted values of the instances of a data set ?
Does it have to be implemented by oneself?

thanks a lot again
best regards 
Bj?rn