Computes a multiple linear regression model. Select a target column that represents the response variable and a set of columns that represent the independent variables.
\n ","shortDescription":"Computes a multiple linear regression model.","keywords":["lm"],"deprecated":false,"streamable":false,"tags":["Analytics","Mining","Linear/Polynomial Regression"],"icon":"data:image/png;base64,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","views":[{"name":"Linear Regression Result View","description":"Displays the estimated coefficients and error statistics."},{"name":"Linear Regression Scatterplot View","description":"Displays the input data along with the regression line in a scatterplot. The y-coordinate is fixed to the response column (the column that has been approximated) while the x-column can be chosen among the independent variables with numerical values. Note: If you have multiple input variables, this view is only an approximation. It will fix the value of each variable that is not shown in the view to its mean. Thus, this view generally only makes sense if you only have a few input variables."}],"inPorts":[{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Input data","description":"Table containing the data used for the regression."}],"outPorts":[{"objectClass":"org.knime.core.node.port.pmml.PMMLPortObject","color":"1469af","dataType":"PMML","optional":false,"name":"Model for Predictor","description":"The computed regression model."},{"objectClass":"org.knime.core.node.BufferedDataTable","color":"000000","dataType":"Table","optional":false,"name":"Coefficients and Statistics","description":"Coefficients and statistics of the linear regression model."}],"dynInPorts":[],"dynOutPorts":[],"additionalSiteInformation":{"url":"https://update.knime.com/analytics-platform/5.12","trusted":true,"enabledByDefault":true,"name":"KNIME Analytics Platform 5.12 Update Site","version":"5.12.0"},"dialog":[{"sectionName":"Options","fields":[{"name":"Target","description":"Select the numeric target column (response variable) the regression should predict.","optional":false},{"name":"Values","description":"Choose the independent variables to include in the regression model. Nominal columns are converted into dummy variables automatically, as described in Categorical variables in regression .","optional":false},{"name":"Predefined offset value","description":"Provide a user-defined intercept instead of estimating the constant term. When enabled, the specified offset is used as intercept and the model does not estimate a constant.","optional":false},{"name":"Offset value","description":"Enter the constant term used when a predefined offset is applied to the regression model.","optional":false},{"name":"Missing values in input data","description":"Decide whether rows containing missing values should be ignored or cause the node execution to abort.\n