[R] Nonliner Rgression using Neural Nnetworks
kjetil brinchmann halvorsen
kjetil at entelnet.bo
Sat Jul 12 02:54:01 CEST 2003
On 11 Jul 2003 at 18:56, Yukihiro Ishii wrote:
> 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
ans especially the arguments
> Please help me there.
> Thanks in advance.
> Y.Ishii <yukiasais at ybb.ne.jp>
> 2-3-28 $B!! (BTsurumaki-minami, Hadano
> 257-0002 Japan
> R-help at stat.math.ethz.ch mailing list
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