I read the subject message in a number of R archived emails.
Since I am experiencing the same problem:
> upfmla
A ~ T + cosP + cos2P + cos4P + cos5P + sin3P + sin5P + cosP2 +
sinP3 + P2
> glmod <- gls(upfmla,correlation=corAR1(),method="ML")
Error: cannot allocate vector of size 491.3 Mb
> dim(xx)
[1] 8025 14
and since I'm running R on a 64-bit Linux platform ... I wonder whether this
problem has
been solved or I'm better off giving up the Generalized Least Squares
models.
Would it make sense to break the data into two halves and fit one half at a
time ?
Thank you .
Happy new year,
--
Maura E.M
[[alternative HTML version deleted]]
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