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How to screen easily the non significant of many factors(~200 columns) before to perform a mulitple regression.

I have many factor (~200 columns) and one response,i have many measures.

Most of this factors show colinearity between them,is there a simple way to perform a first filter of the not relevant factors?

Then in the remaining i will perform a multiple regression.

Predictive Modeling and Machine Learning