Running head: PCA IN COMPARATIVE ANALYSES Statistical and conceptual challenges in the comparative analysis of principal components
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Running head: PCA IN COMPARATIVE ANALYSES Comparative analysis of principal components can be misleading
Most existingmethods formodeling trait evolution are univariate, while researchers are oen interested in investigating evolutionary patterns and processes across multiple traits. Principal components analysis (PCA) is commonly used to reduce the dimensionality of multivariate data as univariate trait models can be t to the individual principal components. e 15 problem with using standard PCA ...
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