Dear Sir,

I am stuck with a nagging problem in using R for SVM regression. My data has 5 
dimensions and 400 observations. The independent variables are :
Peb, Ksub, Sub, and Xtt.
The dependent variable is: Rexp.
I tried using the svm.tune function as well as <_tune(svm.....), to tune the 
hyper parameters: gamma, epsilon and C. 

Since I am new to R, I am probably not using the svm.tune function properly. I 
am getting the following error message:
Error in predict.svm(ret, xhold, decision.values=TRUE): Model is empty!
May you please help me!SADAF ZAIDI

	[[alternative HTML version deleted]]

