Abstract
Abstract There is a well-known simple formula for computing prediction sum of squares (PRESS) residuals in a regression problem without having to refit the curve for each observation. This note shows that the same basic result holds for fitting a regression function when the regression coefficients are subject to linear constraints.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have