Hi,
I am trying to fit a simple two-way fixed effect linear model (o ~ y + s
- 1). However, my problem is large (length(o)=79333).
I am already using slm.fit with a dense design matrix (ddm), but still:
fit <- slm.fit(ddm,o)
Error: cannot allocate vector of size 9.1 Gb
Is there a way to redefine the model or any other trick such that I do
not run into these memory problems?
Running a mixed effect model, like
lme(o ~ y - 1 ,random = ~ 1 | s, method="REML",
contrasts=list(s=("contr.sum")),na.action=na.exclude)
poses no problem, but I want to have both effects fixed.
Thanks,
joerg
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