MultivariateRegressionGetCrossYPredicted Method

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

Parameters

xOfXRaw  Double

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

matrixXRaw  IROMatrixDouble

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

matrixYRaw  IROMatrixDouble

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.

preprocessEnsembleOfSpectra  IEnsembleMeanScalePreprocessor

Information how to preprocess the spectra, here: how to process the spectra ensemble.

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 Y matrix.

Return Value

Reference