The following node is available in the Open Source KNIME predictive analytics and data mining platform version 2.7.1. Discover over 1000 other nodes, as well as enterprise functionality at http://knime.com.
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.
0 | Table on which to perform regression. |
1 | Optional PMML port object containing preprocessing operations. |
0 | Model to connect to a predictor node. |