[R] "lean and mean" regression {was "Memory size"}

Uwe Ligges ligges at statistik.uni-dortmund.de
Mon Jul 14 19:23:40 CEST 2003

Roger Koenker wrote:
> If you can get model.matrix to make an X matrix for you, then you could
> try to use slm in SparseM to estimate the model.  Once again, I would
> make a plea that it would be nice to have a version of model.matrix that
> returned a sparse form of X, since there are bound to be problems for
> which X itself creates memory problems even before one tries to hit
> it with the QR hammer.


Dear all, before this thread grows further on:
Silika told me in a private message of the size of the problem. When I 
guess that a simple additive linear model should be applied (I still 
don't know), it is solvable by lm() with less or than 512MB RAM (tested 
on my machine), but not with 128MB on his/her Laptop ...
Thus, resizing the amount of RAM for R might solve the problem in a 
reasonable amount of time given not too much swapping occurs.


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