CrossPredictedXResidualsEvaluator
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CrossPredictedYEvaluator
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CrossPRESSCalculationType
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Determines how to do the calculation of Cross Validated Predicted Error Sum of Squares.
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CrossPRESSEvaluator
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CrossValidationResult
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Stores the result(s) of cross validation.
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CrossValidationResultEvaluator
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CrossValidationWorker
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DetrendingCorrection
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This class detrends all spectra. This is done by fitting a polynomial to the spectrum (x value is simply the index of data point), and then
subtracting the fit curve from the spectrum.
The degree of the polynomial can be choosen between 0 (the mean is subtracted), 1 (a fitted straight line is subtracted).
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EnsembleMeanAndScaleCorrection
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This class takes the ensemble mean of all spectra and then subtracts the mean from all spectra.
It then takes the variance of each wavelength slot and divides all spectral slots by their ensemble variance.
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ExcludeGroupsGroupingStrategy
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This strategy groups together similar observations, i.e. observations that have exactly the same y-values.
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ExcludeHalfObservationsGroupingStrategy
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This strategy groups the observations into two groups. It try to part observations with the same y-values
equally into the one group and the other group.
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ExcludeSingleMeasurementsGroupingStrategy
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Stragegy that groups not at all, so each observation appears in an own group.
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ICrossValidationGroupingStrategy
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Provides a strategie for grouping the data (spectra etc.) according to their corresponding
calibration values (concentration etc).
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ICrossValidationResult
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Stores the result(s) of cross validation.
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IMultivariateCalibrationModel
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IMultivariateCalibrationModel contains the basic data for a
multivariate calibration model
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IMultivariatePreprocessingModel
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Contains the basic data that where obtained during preprocessing.
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IPLS2CalibrationModel
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MultiplicativeScatterCorrection
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This class processes the spectra for influence of multiplicative scattering.
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MultivariateAnalysisOptions
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Determines how to do a Partial Least Squares Analysis.
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MultivariateCalibrationModel
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MultivariatePreprocessingModel
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MultivariateRegression
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Contains method common for all multivariate regressions.
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NoSpectralCorrection
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This class does nothing. It is only intended for export, and to hold static methods common to all.
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PCRCalibrationModel
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PCRRegression
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PCRRegression contains static methods for doing principal component regression analysis and prediction of the data.
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PLS1CalibrationModel
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PLS1Regression
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Summary description for PLS1Regression.
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PLS2CalibrationModel
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PLS2Regression
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PLSRegression contains static methods for doing partial least squares regression analysis and prediction of the data.
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SavitzkyGolayCorrection
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This class processes the spectra for influence of scattering.
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SpectralPreprocessingMethod
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Gives the list of basic processing methods
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SpectralPreprocessingOptions
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SpectralPreprocessingOptions holds the options applied to all spectra before processed by PLS or PCR.
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StandardNormalVariateCorrection
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This class processes the spectra for influence of scattering.
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