Hi, I am trying to fit a linear mixed effects model (lme) with a variance covariance matrix that has 148248^2 entries. I get the error message: error: cannot allocate vector of size 2243241 kb However, I am running this on a sun sparc (solaris 2.8) with 20GB of ram, using R 1.7 Is this a hard limit I am reaching or does this have to do with how sun segments memory? I can probably rewrite the model to be a bit more sensible with how resources are used, but I thought i could brute force it since we have the power. Thanks Nicholas [[alternate HTML version deleted]]
On Mon, 26 May 2003 LEWIN_KOH_NICHOLAS_JOHN at lilly.com wrote:> Hi, > I am trying to fit a linear mixed effects model (lme) with a variance > covariance matrix that has 148248^2 entries. I get the error message: > error: cannot allocate vector of size 2243241 kb > > However, I am running this on a sun sparc (solaris 2.8) with 20GB of ram, > using R 1.7 > Is this a hard limit I am reaching or does this have to do with how sun > segments memory?Did you build a 64-bit version of R (see the R-admin manual)? If not, you are limited to 4Gb total, and that's the likely explanation. -- Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595
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