PCAtest: testing the statistical significance of Principal Component Analysis in R
Principal Component Analysis (PCA) is one of the most broadly used statistical methods for the ordination and dimensionality-reduction of multivariate datasets across many scientific disciplines. Trivial PCs can be estimated from data sets without any correlational structure among the original varia...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2022-02-01
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| Series: | PeerJ |
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| Online Access: | https://peerj.com/articles/12967.pdf |