SIMCA method is based on principal component analysis of a supervised pattern recognition method.The basic idea of this algorithm is the training focus spectrum to each type of sample matrix principal component analysis, respectively, set up each kind of mathematical model of principal component analysis and then on this basis, which can identify the unknown sample is respectively to test the fitting of unknown samples and all kinds of model, to determine its what kind or does not belong to any category.

simcapred.m

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