[R] Logistic regression problem

[Milicic B. Marko]

The only solution I can see is fitting all possib le 2 factor models enabling
interactions and then assessing if interaction term is significant...


any more ideas?




Milicic B. Marko wrote:
> 
> I have a huge data set with thousands of variable and one binary
> variable. I know that most of the variables are correlated and are not
> good predictors... but...
> 
> It is very hard to start modeling with such a huge dataset. What would
> be your suggestion. How to make a first cut... how to eliminate most
> of the variables but not to ignore potential interactions... for
> example, maybe variable A is not good predictor and variable B is not
> good predictor either, but maybe A and B together are good
> predictor...
> 
> Any suggestion is welcomed
> 
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