Question: 1. Basic concepts for linear regression. (a) From the perspective of optimization, list the formulations of least squares, ridge, lasso, elastic-net and best subset selection.

1. Basic concepts for linear regression. (a) From the perspective of optimization, list the formulations of least squares, ridge, lasso, elastic-net and best subset selection. Briefly summarize their differences. (b) In a -fold cross-validation using leave-one-out, if a set of lambdas is used, how many linear models have been fitted? How about when using leave-two-out

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