[R] What training algorithm does nnet package use?

[Wee-Jin Goh]

Greetings list,

I've just swapped from the "neural" package to the "nnet" package and  
I've noticed that the training is orders of magnitude faster, and the  
results are way more accurate.

This leads me to wonder, what training algorithm is "nnet" using? Is  
it a modification on the standard backpropagation? Or a completely  
different algorithm? I'm trying to account for the speed differences  
between neural and nnet, and the documentation on the nnet package is  
rather sparse on what training algorithm is used (either that, or I'm  
getting blind and missed it totally).

Any help would be much appreciated.

Regards,
Wee-Jin