On 11 Jul 2003 at 18:56, Yukihiro Ishii wrote: > Hi, > I am an old hand at chemistry but a complete beginner at statistics > including R computations. > My question is whether you can carry out nonlinear > multivariate regression analysis in R using neural networks, where the > output variable can range from -Inf to + Inf., unlike discriminant > analysis where the output is confined to one or zero. The library nnet > seems to work only in the latter case but then I could be wrong.
You are wrong. nnet can be used to predict a continous variable, for instance by setting the arguments linout=TRUE. For ways to set different types of networks, see ?nnet ans especially the arguments linout entropy softmax censored Kjetil Halvorsen > > Please help me there. > > Thanks in advance. > > Y.Ishii <[EMAIL PROTECTED]> > 2-3-28 $B!! (BTsurumaki-minami, Hadano > 257-0002 Japan > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
