MatrixMathNIPALS_HO Method

public static void NIPALS_HO(
	IMatrix<double> X,
	int numFactors,
	double accuracy,
	IRightExtensibleMatrix<double> factors,
	IBottomExtensibleMatrix<double> loads,
	IBottomExtensibleMatrix<double> residualVarianceVector
)

Parameters

X  IMatrixDouble

The matrix to which the decomposition is applied to. A row of the matrix is one spectrum (or a single measurement giving multiple resulting values). The different rows of the matrix represent measurements under different conditions.

numFactors  Int32

The number of factors to be calculated. If 0 is provided, factors are calculated until the provided accuracy is reached.

accuracy  Double

The relative residual variance that should be reached.

factors  IRightExtensibleMatrixDouble

Resulting matrix of factors. You have to provide a extensible matrix of dimension(0,0) as the vertical score vectors are appended to the matrix.

loads  IBottomExtensibleMatrixDouble

Resulting matrix consiting of horizontal load vectors (eigenspectra). You have to provide a extensible matrix of dimension(0,0) here.

residualVarianceVector  IBottomExtensibleMatrixDouble

Residual variance. Element[0] is the original variance, element[1] the residual variance after the first factor subtracted and so on. You can provide null if you don't need this result.

Reference