(nlme, lme, glmmML, or glmmPQL)mixed effect models with large spatial data sets

Update on above.  I sampled my data to create a 10,000 observation data set. 
I then tried lme with a correlation = corSpher and only one predictor, as a
test.  I set my memory.limit to the max allowable.  It ran for a while then
returned 

Error: cannot allocate vector of size 64.0 Mb.

I can see how 50K obs busted it.  But 64 Mb? Perhaps there is another limit
set by the lme function? -seth

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