R help - Jan 2011 - Nnet Questions

Hi,

I am new to nueral networks and R. i want run the NN using nnet. 
Following are my Questions.

1> To run regression using nnet, why should i specify linout=T always?. if
not it is not prediciting properly

2>In the help, i have read that linout, entropy, softmax and censored are
mutually exclusive. Still i am able to specify all at a time. When should i
use?

3> any example for contrasts parameter

4>



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Hi,

I am using nnet function to run regression and classification algorihtms.
following are my questions

1. test<-nnet(Strength~.,cement,skip=T,size=0,linout=T), why linout=T always
for Regression algorithm

2. In the help, linout, entropy, softmax and censored are mutually
exclusive. but i can use all at a time. can anybody helps me use of each
parameter by example

3. how contrasts is used and please provide an examle
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