MultivariateRegressionPreprocessForAnalysis Method

public static void PreprocessForAnalysis(
	ISingleSpectrumPreprocessor preprocessSingleSpectrum,
	IEnsembleMeanScalePreprocessor preprocessEnsembleOfSpectra,
	double[] xOfXRaw,
	IROMatrix<double> matrixXRaw,
	IROMatrix<double> matrixYRaw,
	out double[] xOfXPre,
	out IMatrix<double> matrixXPre,
	out IMatrix<double> matrixYPre,
	out IVector<double> meanX,
	out IVector<double> scaleX,
	out IVector<double> meanY,
	out IVector<double> scaleY
)

Parameters

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.

xOfXRaw  Double

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

matrixXRaw  IROMatrixDouble

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

matrixYRaw  IROMatrixDouble

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  IMatrixDouble

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

matrixYPre  IMatrixDouble

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

meanX  IVectorDouble

Contains the mean spectrum, calculated during the analysis stage.

scaleX  IVectorDouble

Contains the scaling factor for each spectral slot, calculated during the analysis stage.

meanY  IVectorDouble

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

scaleY  IVectorDouble

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

Reference