Hi, I have a binary variable and many explanatory variables and I want to
use the package "nnet" to model these data, (instead of logistic regression).
I want to find the more effective variables (inputs to the network) in
the neural network model. how can I do this?
thanks.
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
