hi peter,
another question for you, if you are willing. well actually, both this
question and the question i just asked Bert are for anybody willing to
answer! I very much appreciate your opinions!
My dependent variable is an annual total. However most (tho not all) of the
250+ variables are at a
Bert, if you have caught your breath yet (i would insert a smilely here, but
i hate smileys), can i ask you another question?
I see your affiliation has the word Genotech in it. Of all the things i have
been reading about, it seemed my best hope could be in following tools
statistical/data dredgi
thanks Phil, I will give it a try!
-Kim
--
View this message in context:
http://r.789695.n4.nabble.com/regsubsets-Leaps-tp4632083p4632105.html
Sent from the R help mailing list archive at Nabble.com.
__
R-help@r-project.org mailing list
https://stat.et
Hi
i need to create a model from 250 + variables with high collinearity, and
only 17 data points (p = 250, n = 750). I would prefer to use Cp, AIC,
and/or BIC to narrow down the number of variables, and then use VIF to
choose a model without collinearity (if possible). I realize that having a
huge
4 matches
Mail list logo