[R] interpretation of svm models with the e1071 package

Dear all, after having calibrated a svm model through the svm() command of the e1071 package, is there a way to i) represent the modeled relationships between the y and X variables (response variable vs. predictors)? ii) rank the influence of the predictors used in the model? Right now I am m

Re: [R] interpretation of svm models with the e1071 package

Thanks a lot for the reply, some comments below On 07/10/2010 04:11 AM, Steve Lianoglou wrote: Hi, On Fri, Jul 9, 2010 at 12:15 PM, manuel.martin wrote: Dear all, after having calibrated a svm model through the svm() command of the e1071 package, is there a way to i) represent the

[R] book about "support vector machines"

Dear all, I am currently looking for a book about support vector machines for regression and classification and am a bit lost since they are plenty of books dealing with this subject. I am not totally new to the field and would like to get more information on that subject for later use with the