Publisher review:apR2p - Approximate determination coefficient (R2) for prediction This m-file computes an approximate determination coefficient (R2) for prediction, sayR2pred = 1 - (PRESS/SST)where PRESS = prediction error sum of squares, SST = total sum of squares.This statistic gives some indication of the predictive capability of the regression model. So, we could expect the model 'explain' about a percentage of the variability in predicting new observations, as compared to the approximately percentage of the variability in the original data explained by the least squares fit.Syntax: function x = apR2p(D)Inputs:D - matrix data (=[X Y]) (last column must be the Y-dependent variable; X-independent variables).Output:x - approximate determination coefficient (R2) for prediction. Requirements: · MATLAB Release: R14 · Statistics Toolbox
apR2p is a Matlab script for Statistics and Probability scripts design by Antonio Trujillo-Ortiz.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris
apR2p script details 
