Yes, you can use SVR for regression tasks using multiple independent variables. You can find an example here http://eric.univ-lyon2.fr/~ricco/tanagra/fichiers/en_Tanagra_Support_Vector_Regression.pdf of how to do this using Tanagra (data-mining application which uses svmlib), use other applications such as Weka, or you can use directly svmlib, R packages such as kernlab or e1071,...
Thanks to all for nice idea. Can SVR be reliable for noisy data? I mean let say i have training data set which is noise free and i used for learning purpose (i.e to find weight (W) and bias term (b)). now i get input data which is noisy and try to estimate output(y) from that. Can SVR do well here?