Partial least squares discriminant analysis (pls-da) is one of the most widely used classification techniques in chemo metrics. This approach has also been extensively used in “omics” related fields, such as metabolomics, proteomics, and genomics and in many other fields, which generates large amount of data such as spectroscopy, as described elsewhere. The increasing interest in PLS-DA method, especially in the field of metabolomics, is mainly due to its availability in most of the common statistical software packages.

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