Hello all,

As has been mentioned on this list before, I'm getting an error message from
predict.gstat:

"memory.c", line57: can't allocate memory in function m_get()
Error in predict.gstat( ....): m_get

I'm running R 2.11.1 and the most recent version of gstat on a Linux box
with 24gb of ram.
The job is drawing <3gb of ram, so this doesn't seem to be a limitation of
the computer. Perhaps a limit in the function?

I'm running 3-dimensional cokriging with two variables.
predict.gstat runs fine until the dimensions of both variables exceeds
~3,000, which makes a very large covariance matrix.
I've already split this job down as far as seemed reasonable, so it would be
difficult to decrease the size of the datasets directly.
I can't tell that predict.gstat has options for limiting predictor data sets
using nmax or maxdist arguments when cokriging.

Is there an option here that I'm missing?

thanks,

Burton

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