PLS analysis is carried out on input data to build a multiple linear regression model that can then be applied to other data sets. Both training set and testing set are required as input, these can be created using the Partitioning or Row Splitter KNIME nodes. Input data must contain 2 or more columns of numerical data, for the independent variables (X) and the dependent variable (Y).
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