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LARS stands for Least Angle Regression. It is a penalized estimation and feature selection technique for multiple regression.

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Advantages of doing "double lasso" or performing lasso twice?

I once heard a method of using the lasso twice (like a double-lasso) where you perform lasso on the original set of variables, say S1, obtain a sparse set called S2, and then perform lasso again on se …
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