Dear R-Users


I am trying to fit a random coeficient model with about 30 covariates with a random intercept and one random slope. The data set has 65000 observations, and whenever I use LME I get the message that all memory has been used.


I was wondering whether there is a more efficient way fo fitting the model.

OS:          Windows 2000
R version:   R 1.6.2
Memory:      128Mb
Free HD:     <>11Gb

Looking forward to you help as always.


Vumani Dlamini


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