Perfect collinearity not created equal: measuring and visualizing the severity of multi-collinearity of modern omics data.

Abstract excerpt

Multi-collinearity frequently occurs in modern statistical applications and when ignored, can negatively impact model selection and statistical inference. Though perfect collinearity is always present in "n < p" data, we demonstrate that perfect collinearity arises differently, from diverse data redundancy patterns and/or data dimensions. Classic tools and measures that were developed for "n > p" data cannot be...

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