FloatPCA Properties

The FloatPCA type exposes the following members.

Properties

	Name	Description
	CumulativeVarianceProportions	Gets the cumulative variance proportions.
	Data	Gets the data matrix.
	Eigenvalues	Gets the eigenvalues of the covariance/correlation matrix, though the calculation is actually performed using the singular values of the data matrix.
	IsCentered	Returns true if the data supplied at construction time was shifted to be zero-centered.
	IsScaled	Returns true if the data supplied at construction time was scaled to have unit variance.
	Item	Gets the specified principal component.
	Loadings	Gets the loading matrix. Each column is a principal component.
	Means	Gets the column means of the data matrix.
	Norms	Gets the column norms (1-norm).
	NumberOfObservations	Gets the number of observations in the data matrix.
	NumberOfVariables	Gets the number of variables in the data matrix.
	Scores	Gets the score matrix.
	StandardDeviations	Gets the standard deviations of the principal components.
	VarianceProportions	Gets the proportion of the total variance accounted for by each principal component.