memory stack overflow

That is very unusual, but the C stack can be increased under Windows 
by recompiling R (see src/gnuwin32/front-ends/Makefile). On most other 
OSes it is much easier, just adjust the setting via ulimit or limit in 
your shell.

But I suspect the problem is that your model is too complex. 
Incidentally, is your R current?  Stack usage in expanding models was 
reduced recently.

Dear colleagues,

I am trying a glm.nb for the distribution of a plant species with 93 
environmental variables. I execute the instruction and I get the 
following message: "Error: C stack usage is too close to the limit".

Well, we don't know what you did (see the footer of this message) but 
if you mean 93 explanatory variables I hope you have tens of thousnads 
of cases and are just looking for a predictive model.

How can I increase the memory of R?

Your sincerely,

Nora.

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Brian D. Ripley,                  ripley at stats.ox.ac.uk
Professor of Applied Statistics,  http://www.stats.ox.ac.uk/~ripley/
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