Hi, On Mon, Jun 14, 2010 at 4:24 PM, Amy Hessen <[email protected]> wrote: > Hi Steve, > > Thank you very much for your reply. > Could you please tell me how I can know that a given dataset is non linear > regression?
This is the type of question you should really consult a (local) stat expert for. I have some ideas, but I'm loathe to offer them because the *real* stat gurus here will likely shoot them down due to their lack of rigor, and will most likely just tell you to consult a local expert. > What kind of regression SVM (of package e1071) does? > Linear, multiple, or non linear? I think you'd benefit on reading up on svm's and regression. Googling for "support vector regression" will land you on several tutorials. Support vector regression is also covered in "The Elements of Statistical Learning," which is available free online. We already mentioned SVR can handle multiple regression. I'm not sure how to really answer your "nonlinear" question. Technically it's doing linear regression, but recall that you can use a kernel in your SVM that can transform your feature space in interesting (and nonlinear) ways. The machine will be doing linear regression in the new feature space, but this can map to some non linear function in the original input space. -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
