To recap, linear ridge regression is essentially standard linear regression with L2 regularization added to prevent huge model coefficient values that can cause model overfitting.

We suggest a new horizontal scaling for the ridge trace, some new techniques for monitoring ridge solutions including an index of stability of relative magnitudes (ISRM) and numerical largeness of ...

Ridge regression is shown to be superior to ordinary least-squares regression and double-mass analysis, and is a robust estimator of central tendency for extrapolating Hawaiian rainfall normals.