Linear Regression Learner (deprecated)

Performs a multivariate linear regression. Select in the dialog a target column (combo box on top), i.e. the response. The two lists in the center of the dialog allow you to include only certain (numeric) columns which represent the (independent) variables. Make sure the columns you want to have included being in the right "include" list. The checkbox at the bottom controls whether or not the error on the training data should be computed. The error value is then available in the view. Calculating the error requires performing one extra scan on the data.
Additionally, specify the rows that shall be available in the view. Specify the first row number and the total count.
If the optional PMML inport is connected and contains preprocessing operations in the TransformationDictionary those are added to the learned model.

Input ports

1. Type: Table
   Input data
   Table on which to perform regression.
2. Type: PMML
   PMML Preprocessing
   Optional PMML port object containing preprocessing operations.

Output ports

1. Type: PMML
   Model for Predictor
   Model to connect to a predictor node.