R help - Apr 2013 - CV in SVM

Good morning.

I am using package e1071 to develop a SVM model. My code is:

        x <- subset(dataset, select = -Score)

y <- dataset$Score

model <- svm(x, y,cross=10)

print(model)

summary(model)


As 10-CV produces 10 models, I need two things:


1) To have access to each model from 10-CV.


2) To predict new instances with each model to know which one does the best
performance.


Anyone can help me?


Thanks!

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