Hi Richard:
Even if I dont read the dummy var columns, i.e. just read the original
dataset with 350,000 rows and 16 columns, when I try to run the regression -
using
>lm(y ~ c1 + factor(c2) + factor(c3) ) ; where c2, c3 are dummy variables,
The procedure fails saying not enough memory. But,
> lm(y ~ c1 + factor(c2) ) works fine.
Any thoughts.
Thanks
Sachin
"Richard M. Heiberger" <[EMAIL PROTECTED]> wrote:
Where is the excess size being identified? Is it the read? or in the lm().
If it is in the reading of the data, then why are you reading the dummy
variables?
Would it make sense to read a single column of a factor instead of 80 columns
of dummy variables?
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