This node is currently not available in KNIME v5.3 — instead we’re showing this page for **KNIME v5.1**. You can use the version menu in the title bar to permanently switch your preferred version. This will also show the link to the update site.

Ordinary least squares with results and diagnostics. More information can be found at here

**Note:** The input table should not contain missing values. You can use the
Missing Value node to replace them.

- Geometry column
Select the geometry column to use.

- ID column
Select the column which contains for each observation in the input data a unique ID, it should be an integer column. The IDs must match with the values of the Spatial Weights node ID column. If 'none' is selected, the IDs will be automatically generated from 0 to the number of rows flowing the order of the first input table.

- Dependent variable
The column containing the dependent variable to use for the calculation of the spatial OLS model.

- Independent variables
The columns containing the independent variables to use for the calculation of the spatial OLS model.

- Geometry column
Select the geometry column to use.

- ID column
Select the column which contains for each observation in the input data a unique ID, it should be an integer column. The IDs must match with the values of the Spatial Weights node ID column. If 'none' is selected, the IDs will be automatically generated from 0 to the number of rows flowing the order of the first input table.

- Dependent variable
The column containing the dependent variable to use for the calculation of the spatial OLS model.

- Independent variables
The columns containing the independent variables to use for the calculation of the spatial OLS model.

- Spatial Diagnostics
If selected, the node computes the Anselin-Kelejian test

- Robust
If ‘white’, then a White consistent estimator of the variance-covariance matrix is given. If ‘hac’, then a HAC consistent estimator of the variance-covariance matrix is given. Set to None for default.

- Sig2n k
If True, then use n-k to estimate sigma^2. If False, use n. Default set to True.

- Moran
If True, compute Moran’s I on the residuals. Note: requires spat_diag=True. Default set to True.

- White Test
If True, compute White’s specification robust test (requires nonspat_diag=True). Default set to True.

Advanced Setting

- VM
If True, include variance-covariance matrix in summary results. Default set to False.

- Model summary view
- Model summary view of the spatial OLS model.

- No workflows found

- No links available

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To use this node in KNIME, install the extension Geospatial Analytics Extension for KNIME from the below update site following our NodePit Product and Node Installation Guide:

v5.1

A zipped version of the software site can be downloaded here.

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