Hi,

I'm having trouble with glmmPQL.

I'm fitting a 2 level random intercept model, with 90,000 cases and about 330 groups.  I'm unable to get any results on the full data set.  I can get it to work if I sample down to about 30,000 cases.  But for models with N's much larger than that I get the following warning message:

 m3=glmmPQL(prepfood~iage+iemployed+iwhite+ieduclevl+imarried+servcomm+leadgrup+leadsty4, family=binomial, random=~1|congrega1,data=data)
Error: cannot allocate vector of size 4135 Kb
In addition: Warning message: 
Reached total allocation of 253Mb: see help(memory.size) 

I've tried increasing my virtual memory size, and also defragmenting my hard drive.  It hasn't helped.  I've seen other people asking similar questions on the archive, but it seems that this problem should have gone away after earlier versions of R, is that right?

Is this a data problem, am I fitting a bad model, or is it a memory size problem.  I'm hoping the last one, and any help is appreciated.

Thanks,

Matt
	[[alternative HTML version deleted]]


