[R] number of weights in multinom ?

[Prof Brian Ripley]

On 18/11/2014 11:35, Franck Vermet wrote:
> Hello,
>
> In the function multinom (package nnet), I get the following message after training for a model with 9 inputs and 6 classes (output) :
>
> # weights:  66 (50 variable)
>
> I understand that there are 50 variables in the model,
> but I don't understand the number 66.
> How can we interpret this number ?

That is not what the message says: 'variable' is not a plural noun but 
an adjective, the antonym of 'fixed'.

Package nnet is support software for a book: you need to do your own 
homework by reading it.

>
> Thanks,
> Franck Vermet.
>
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That does mean you: in the absence for a reproducible example no one can 
help you.

Also, repeated posting is very strongly discouraged: you sent this on 
Nov 13 (and also spammed CRAN with it).

-- 
Brian D. Ripley,                  ripley at stats.ox.ac.uk
Emeritus Professor of Applied Statistics, University of Oxford
1 South Parks Road, Oxford OX1 3TG, UK