The Lasso Page
The Lasso is a shrinkage and selection method for linear regression.
It minimizes the usual sum of squared errors, with a bound on the sum of the
absolute values of the coefficients. It has connections to soft-thresholding
of wavelet coefficients, forward stagewise regression, and boosting methods.