Partial Least Squares Discriminant Analysis (PLS-DA) is a statistical method used for classification and regression, specifically designed to handle high-dimensional data like metabolomics. It combines features of principal component analysis (PCA) with discriminant analysis to effectively identify patterns and relationships in the data, making it a vital tool in metabolomics for differentiating between different sample groups based on their metabolic profiles.
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