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 -- View this message in context: http://n4.nabble.com/nlme-lme-glmmML-or-glmmPQL-mixed-effect-models-with-large-spatial-data-sets-tp1217808p1236563.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.