Hi,
I think the problem is that I've been getting replies about how to
make new
regressions, when in fact, I need to use the one I've produced
already to
fit new data, 5 rows at a time, to see if it is also a good
representation
of further data. From the replies, I'm getting the impression that
the only
way I can do that is bye producing more regressions and calculating
the
error, but I'm not sure how I should do that, if I get hundreds of new
regressions.
So ... I haven't read the replies in this thread, but I'd be surprised
if you haven't been directed to the "predict" function.
The call to "lm" will return you an object of class "lm". Calling
"predict" on that object on *new* data will actually call the
predict.lm function, and does exactly what it seems like you're asking
to do, which is to "fit new data."
I think having a look through the documentation in ?predict.lm should
make this clear, no?
Is this what you're after?
HTH,
-steve
--
Steve Lianoglou
Graduate Student: Physiology, Biophysics and Systems Biology
Weill Medical College of Cornell University
Contact Info: http://cbio.mskcc.org/~lianos
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