[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:

> 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 

ans especially the arguments

Kjetil Halvorsen

> 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
> https://www.stat.math.ethz.ch/mailman/listinfo/r-help

More information about the R-help mailing list