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Best subset selection, forward and backward selection methods, lasso, ridge regression, ordinary linear least squares, and principal component regression - model selection with different criteria (e.g.: BIC) and validation.

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Best subset selection, forward and backward selection methods, lasso, ridge regression, ordinary linear least squares, and principal component regression - model selection with different criteria (e.g.: BIC) and validation.

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