Number of Principal Components Derived and Proportion of Variation Explained.
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This table provides summary data for each of the models generated in SIMCA-P+. The algorithm used continues to derive principal components until cross-validation shows that further principal components are only modelling noise within the dataset. The first 2 principal components are used in all the figures and subsequent analysis. PCA; Principal Component Analysis. PLS-DA; Partial Least Squares Discriminant Analysis.
创建时间：
2015-12-02
