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Kenneth Cabrera wrote: > If you have 30.000 independent variables, how many records do you have? Not nearly enough, as Brian Ripley has pointed out. > Have you consider projection pursuit? I hadn't, but perhaps I should. Can you tell...
Brian D. Ripley <ripley at stats.ox.ac.uk> wrote: > the theory of perceptrons says you will find perfect discrimination > with high probability even if there is no structure unless n is well > in excess of 2p. So you do...
I would like to use R to perform a logistic regression with about 30,000 independent variables. That's right, thirty thousand. Most will be irrelevant: the intent is to use the regression to identify the few that actually matter...
John Aitchison <jaitchis at hwy.com.au> wrote: > I am interested in the current thinking on this issue (of the > acceptability of methodological questions) I had the same concern, which is why my first posting tried to avoid giving many...
Murray Jorgensen wrote: > You have not really given enough background to enable much help to be > given. In a way, that was intentional. I was hoping that my problem was merely a matter of proper R usage. But several of...
As suggested in my earlier message, I have a large population of independent variables and a binary dependent outcome. It is expected that only a few of the independent variables actually contribute to the outcome, and I'd like to...
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