The addition of grouping variables in PLS-DA can make up for the shortcomings of the PCA method, and the parameter R2X (cum) can be used to judge the validity of the model.PLS-DA In addition to the parameter R2X (cum), it also includes the explanation rate R2Y (cum) and the prediction rate Q2 (cum), and the closer the two are to 1, it means that the PLS-DA model can better explain and predict the differences between the two groups of samples, which represents the better the model prediction ability
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