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nipalsPCA

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Rahil Taujale edited this page Dec 21, 2020 · 2 revisions

PCA=nipalsPCA(X,components)

Calculates first 'components' principal components of X by NIPALS (Nonlinear Iterative Partial Least Squares) algorithm and outputs an array with scores, loadings, and variance for each principal.

Graphical representation: NA

Known bugs: NA

Typical next steps: visualize the PCA by loading or score plot VisLoadings1Dpeak/VisLoadings1D, VisScores/VisScoresLabel

Tags: Group-Separation

References: Not show in script but should have one

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