This node performs polynomial regression on the input data and computes the coefficients that minimize the
squared error. The user must choose one column as target (dependent variable) and a number of independent variables. By
default, polynomials with degree 2 are computed, which can be changed in the dialog.
If the optional PMML inport is connected and contains preprocessing operations in the TransformationDictionary those are added to the learned model.
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