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to zero the coefficients that are not as relevant to the model[2]. With Ordinary Least Squares you want to minimize the Residual Sum of Squares (RSS). But, in a regularized version of Ordinary Least Squares, you want to shrink some of its coefficients to reduce overall model variance. You do that