Principal Component Analysis (PCA) — Glossary

pca

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Definition

Variance-maximising ordination: finds orthogonal axes (principal components) that capture the most variation in the data. Used both as a single-dataset ordination method and across concatenated omics blocks.

Examples

PC1 + PC2 scatter of soil chemistry or joint omics.

Related terms

Ordination Scores Loadings