apR2p 1.0

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:	No special requirements
Platforms:	Matlab
Keyword:	Approximately,  Compared,  Explained,  Observations,  Original,  Percentage,  Predicting,  Variability
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