Geometric morphometrics aims to characterize of the geometry of complex traits. It is therefore by essence multivariate. The most popular methods to investigate patterns of differentiation in this context are (1) the Principal Component Analysis (PCA). which is an eigenvalue decomposition of the total variance-covariance matrix among all specimens; (2) the Canonical Variate Analysis (... https://www.foldlyers.shop/product-category/dog-apparel/
Once upon Multivariate Analyses: When They Tell Several Stories about Biological Evolution.
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