See the examples at the end of: http://cran.r-project.org/web/packages/caret/vignettes/caretTrain.pdf
for a QSAR data set for modeling the log blood-brain barrier concentration. SVMs are not used there but, if you use train(), the syntax is very similar. On Tue, May 3, 2011 at 9:38 AM, ypriverol <yprive...@gmail.com> wrote: > well, first of all thank for your answer. I need some example that works with > Support Vector Regression. This is the format of my data: > VDP V1 V2 .... > 9.15 1234.5 10 > 9.15 2345.6 15 > 6.7 789.0 12 > 6.7 234.6 11 > 3.2 123.6 5 > 3.2 235.7 8 > > VDP is the experimental value of the property that i want to predict with > the model and more accurate. The other variables V1, V2 ... are the > properties to generate the model. I need some examples that introduce me in > this field. I read some examples from e1071 but all of them are for > classification problems. > > thanks for your help in advance > > -- > View this message in context: > http://r.789695.n4.nabble.com/Bigining-with-a-Program-of-SVR-tp3484476p3492487.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > R-help@r-project.org 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. > -- Max ______________________________________________ R-help@r-project.org 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.
