Multivariate data are typically represented by a rectangular matrix (table) in which the rows are the objects (cases) and the columns are the variables (measurements). When there are many variables on

DataCite Commons2020-08-27 更新80

Appendix E. Results of partial principal components analysis (PCA) of the Hellinger distance-transformed species data using the complete set of environmental, historical, and spatial variables as covariables.

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Results of partial principal components analysis (PCA) of the Hellinger distance-transformed species data using the complete set of environmental, historical, and spatial variables as covariables.

DataCite Commons2020-09-04 更新60

Principle Component Loadings of GEMS Ratings of First Experiment.

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