Principal Component Analysis (PCA) is a statistical method. Convert a set of variables that may be relevant by orthogonal transform into a set of linearly irrelevant variables, which are called principal components.

principal_component_analyze.m
lagrange_newton_interp.m
newton_interp.m
lagrange_interp.m

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