seniorDimensionality Reduction
How does PCA handle multicollinearity?
Updated May 16, 2026
Short answer
PCA removes multicollinearity by transforming correlated features into orthogonal components.
Deep explanation
Highly correlated features are combined into principal components that are orthogonal, eliminating redundancy and stabilizing models.
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