MultivariateRegressionPreprocessForAnalysis Method

public static void PreprocessForAnalysis(
	ISingleSpectrumPreprocessor preprocessSingleSpectrum,
	double[] xOfXRaw,
	Matrix<double> matrixXRaw,
	Matrix<double> matrixYRaw,
	out double[] xOfXPre,
	out Matrix<double> matrixXPre,
	out IEnsembleProcessingAuxiliaryData auxDataX,
	out Matrix<double> matrixYPre,
	out Vector<double> meanY,
	out Vector<double> scaleY
)

Parameters

preprocessSingleSpectrum  ISingleSpectrumPreprocessor

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

xOfXRaw  Double

The x-values (wavelength, frequency, etc.) of the spectra (needed for preprocessing).

matrixXRaw  MatrixDouble

Matrix of preprocessed spectra (number of observations, number of wavelengths).

matrixYRaw  MatrixDouble

Matrix of target variables. Each measurement (belonging to a spectrum) represents one row.

xOfXPre  Double

On return, contains the x-values of the preprocessed spectra.

matrixXPre  MatrixDouble

On return, contains the matrix of preprocessed spectra (each spectrum is a row in the matrix).

auxDataX  IEnsembleProcessingAuxiliaryData

Contains data from the ensemble preprocessing that is needed later on for preprocessing spectra for prediction.

matrixYPre  MatrixDouble

On return, contains the matrix of preprocessed target variables. Same dimensions as matrixYRaw.

meanY  VectorDouble

On return, contains the mean value of the target variables (mean of all measurements).

scaleY  VectorDouble

On return, contains the scaling factor for the target variables.

Reference