MultivariateRegressionGetCrossYPredicted Method

public static double GetCrossYPredicted(
	double[] xOfXRaw,
	Matrix<double> matrixXRaw,
	Matrix<double> matrixYRaw,
	int numberOfFactors,
	ICrossValidationGroupingStrategy groupingStrategy,
	ISingleSpectrumPreprocessor preprocessSingleSpectrum,
	MultivariateRegression regressionMethod,
	IMatrix<double> yCrossPredicted
)

Parameters

xOfXRaw  Double

The x-values (wavelength, frequency, etc.) of the unpreprocessed spectra.

matrixXRaw  MatrixDouble

Matrix of unpreprocessed spectra (a spectrum is a row in the matrix).

matrixYRaw  MatrixDouble

Matrix of unpreprocessed target variables (e.g. concentrations).

numberOfFactors  Int32

Number of factors used for calculation.

groupingStrategy  ICrossValidationGroupingStrategy

The strategy how to group the spectra for cross prediction.

preprocessSingleSpectrum  ISingleSpectrumPreprocessor

Information how to preprocess the spectra, here: how to process each spectrum separately.

regressionMethod  MultivariateRegression

The type of regression (e.g. PCR, PLS1, PLS2) provided as an empty regression object.

yCrossPredicted  IMatrixDouble

Matrix of cross-predicted y values. Must be of same dimension as the matrixYRaw matrix.

Return Value

Reference