| add.net | Fit Neural Networks | 
| add1.multinom | Fit Multinomial Log-linear Models | 
| anova.multinom | Fit Multinomial Log-linear Models | 
| class.ind | Generates Class Indicator Matrix from a Factor | 
| coef.multinom | Fit Multinomial Log-linear Models | 
| coef.nnet | Fit Neural Networks | 
| drop1.multinom | Fit Multinomial Log-linear Models | 
| eval.nn | Fit Neural Networks | 
| extractAIC.multinom | Fit Multinomial Log-linear Models | 
| logLik.multinom | Fit Multinomial Log-linear Models | 
| model.frame.multinom | Fit Multinomial Log-linear Models | 
| multinom | Fit Multinomial Log-linear Models | 
| nnet | Fit Neural Networks | 
| nnet.default | Fit Neural Networks | 
| nnet.formula | Fit Neural Networks | 
| nnetHess | Evaluates Hessian for a Neural Network | 
| norm.net | Fit Neural Networks | 
| predict.multinom | Fit Multinomial Log-linear Models | 
| predict.nnet | Predict New Examples by a Trained Neural Net | 
| print.multinom | Fit Multinomial Log-linear Models | 
| print.nnet | Fit Neural Networks | 
| print.summary.multinom | Fit Multinomial Log-linear Models | 
| print.summary.nnet | Fit Neural Networks | 
| summary.multinom | Fit Multinomial Log-linear Models | 
| summary.nnet | Fit Neural Networks | 
| vcov.multinom | Fit Multinomial Log-linear Models | 
| which.is.max | Find Maximum Position in Vector |