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
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.
You want to see the source code for this node? Click the following button and we’ll use our super-powers to find it for you.
A zipped version of the software site can be downloaded here.
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to firstname.lastname@example.org, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.