Sum of squares prediction

PRESS Predicted residual error sum of squares (sum of squared prediction errors). rjk (Pearson) correlation coefficient between variables j and k r2 is the... 

In this section, a calibration model will be constructed using the principal components analysis (PC A) (see Chapter 3). A common approach to isolate process disturbances is to check the contribution of each sensor to the sum of squared prediction error (SPE) of the calibration model. 

The obtained predictions of the new generated model for the test set determine the validity of the model. The parameters quantifying the superiority of prediction of the external test set may be the same used for the internal validation. The Sum of Squares Prediction Errors (SSPE) is extensively used to account for the inconsistency. 

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