Using SVMtrain for multiple linear regression

Hi

I have a dataset of the following form:

1) 12.243 15.67 13.879 11.543 13.99 1.3 2) 14.5 11.99 10.98 12.12 17.11 1.5 3)....

In fact I have some hundred rows like that. The first 5 columns are the predictors, the last column is the response.

Now I want to

1) use SVMs for fitting the regression line 2) perform crossvalidation with some additional test set I have

I would appreciate any help/hint. Also I wonder if I should normalize my values to lay in [0,1]?