title: Lasso or Ridge for correlated variables
body: <p>I am trying to understand a quote "In presence of correlated variables, ridge regression might be the preferred choice. "
  Lets say we have variables a1,a2,b1,c2,and the 2 a"s are correlated .
  If we use Lasso it can eliminate one of a"s. Both Lasso and Ridge will do shrinkage.
  So it sounds Lasso could be better on these conditions. But quote says Ridge is better. Is this a wrong quote or I am missing something?(maybe thinking too simple)</p>