+The Variance Inflation Factor (VIF) gauges the silent strain of [multicollinearity](/wiki/multicollinearity) within a statistical model. It quantifies how much a coefficient's variance is inflated by the presence of other, intertwined predictor variables, signaling potential instability in [regression](/wiki/regression) analysis.
+## See also
+- [Linear Regression](/wiki/linear_regression)
+- [Correlation](/wiki/correlation)
+- [Feature Selection](/wiki/feature_selection)
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