[R] extract variables from linear model

From: Jörg Schaber <schaber_at_molgen.mpg.de>
Date: Fri 13 Jan 2006 - 00:49:45 EST


Hi,

I fitted a linear model:
fit <- lm(y ~ a * b + c - 1 , na.action='na.omit')

Now I want to extract only the a * b effects with confidence intervals. Of course, I can just add the coefficients by hand, but I think there should an easier way.
I tried with predict.lm using the 'terms' argument, but I didn't manage to do it.
Any hints are appreciated,

best,

joerg



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