This directory containes code and documentation for an R package based
on `nnet' from Venables and Ripley, `Modern Applied Statistics with
S-Plus' (2nd edition).

The original README file is appended below.

See VERSION for the current version number.

The directory `man' contains R documentation sources converted via Sd2Rd
from the S documentation sources.

KH <Kurt.Hornik@ci.tuwien.ac.at> 1997/09/24

************************************************************************

nnet library from Venables & Ripley (2nd edition)
=================================================


Software for	Feed-forward Neural Networks with a Single Hidden Layer.
		~~~~~~~~~~~~~~~~~~~~~~~~~~~~        ~~~~~~~~~~~~~~~~~~~

nnet		fit neural network using variable metric optimizer in C
predict.nnet	predict future observations.
print.nnet
summary.nnet
nnet.Hess	evaluate Hessian

which.is.max	select maximum of vector, breaking ties at random
class.ind	generates indicator matrix for factor



Software for	Multinomial Log-Linear Models.
		~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
multinom
predict.multinom
print.multinom
summary.multinom
add1.multinom
drop1.multinom
coef.multinom
vcov.multinom
max.col		find largest column for each row of a matrix,
		breaking ties at random
