I am using library(nnet) to train up an ANN with what I believe is a
moderately sized dataset, but R is complaining about too many weights:

---
> nn.1 <- nnet(t(data), targets, size = 4, rang = 0.1, decay = 5e-4, maxit =
200)
Error in nnet.default(t(data), targets, size = 4, rang = 0.1, decay = 5e-04,
: 
        Too many (1614) weights
> dim(targets)
[1] 146   2
> dim(data)  ## Note I'm using the transpose as input
[1] 400 146
---

Is there a way around this?  Pointers to relevant docs/code or the source of
the problem would be greatly appreciated.

Thanks,

_Taku

---
Taku A. Tokuyasu, PhD
UCSF Cancer Center, Box 0128
San Francisco, CA 94143-0128
Tel: (415) 514-1530 Fax: (415) 502-3179
Email: tokuyasu@cc.ucsf.edu



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