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Fast Variance Inflation Factors (VIFs)

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Fail if dataset is ill-posed (num rows < 5 * num predictors)
If num rows < 5 * num predictors, the component will fail with a meaningful error message.%%00010Generally, one should strive for datasets with at least 5 to 10 observations per predictor.%%00010When datasets contain fewer observations, small data perturbations can result in large VIF swings.
Select predictor columns (i.e., independent variables)
Only selected columns will be used to calculate VIFs.
Specify how to treat missing values
If you select "ignore rows with missing values", then rows with a missing value in any predictor column will be filtered out, and will be reported in the second outport of the component.
Column name to use for independent variables in results table.
Enter a column name that should be used for the predictor variables in the outgoing table.

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