Altaxo user manual and class reference
Altaxo class reference
Altaxo Namespaces
Altaxo.Calc Namespaces
Altaxo.Calc.Regression.Multivariate
CrossPredictedXResidualsEvaluator Class
CrossPredictedYEvaluator Class
CrossPRESSCalculationType Enumeration
CrossPRESSEvaluator Class
CrossValidationGroupingStrategyExcludeGroupsOfSimilarMeasurements Class
CrossValidationGroupingStrategyExcludeGroupsOfSimilarMeasurements.SerializationSurrogate0 Class
CrossValidationGroupingStrategyExcludeHalfObservations Class
CrossValidationGroupingStrategyExcludeHalfObservations.SerializationSurrogate0 Class
CrossValidationGroupingStrategyExcludeSingleMeasurements Class
CrossValidationGroupingStrategyExcludeSingleMeasurements.SerializationSurrogate0 Class
CrossValidationGroupingStrategyNone Class
CrossValidationGroupingStrategyNone.SerializationSurrogate0 Class
CrossValidationResult Class
CrossValidationResultEvaluator Class
CrossValidationWorker Class
DimensionReductionAndRegressionDataSource Class
DimensionReductionAndRegressionOptions Class
DimensionReductionAndRegressionOptions.SerializationSurrogate0 Class
DimensionReductionAndRegressionOptions.SerializationSurrogate1 Class
DimensionReductionAndRegressionPredictionDataSource Class
DimensionReductionAndRegressionPredictionProcessData Class
DimensionReductionAndRegressionPreprocessedXDataSource Class
DimensionReductionAndRegressionResult Class
DimensionReductionAndRegressionResult.SerializationSurrogate0 Class
DimensionReductionAndRegressionResult.SerializationSurrogate1 Class
DimensionReductionByAggregation Class
DimensionReductionByAggregation.SerializationSurrogate0 Class
DimensionReductionByAggregationResult Class
DimensionReductionByFactorizationResult Class
DimensionReductionByLowRankFactorization Class
DimensionReductionByLowRankFactorization.SerializationSurrogate0 Class
DimensionReductionByLowRankFactorization.SerializationSurrogate1 Class
DimensionReductionDataSource Class
DimensionReductionNone Class
DimensionReductionNone.SerializationSurrogate0 Class
DimensionReductionNoneResult Class
DimensionReductionOptions Class
DimensionReductionOptions.SerializationSurrogate0 Class
DimensionReductionOutputOptions Class
DimensionReductionOutputOptions.SerializationSurrogate0 Class
ICrossValidationGroupingStrategy Interface
ICrossValidationResult Interface
IDimensionReductionMethod Interface
IDimensionReductionResult Interface
IMultivariateCalibrationModel Interface
IMultivariatePreprocessingModel Interface
IPLS2CalibrationModel Interface
MultivariateAnalysisOptions Structure
MultivariateCalibrationModel Class
MultivariateContentMemento Class
MultivariateContentMemento.CrossPRESSCalculationTypeXmlSerializationSurrogate1 Class
MultivariateLinearFitParameters Class
MultivariateLinearRegression Class
MultivariatePreprocessingModel Class
MultivariateRegression Class
MultivariateRegression.CrossValidationIterationFunction Delegate
PCRCalibrationModel Class
PCRRegression Class
PCRWorksheetAnalysis Class
PCRWorksheetAnalysis.SerializationSurrogate0 Class
PLS1CalibrationModel Class
PLS1Regression Class
PLS1WorksheetAnalysis Class
PLS1WorksheetAnalysis.SerializationSurrogate0 Class
PLS2CalibrationModel Class
PLS2Regression Class
PLS2WorksheetAnalysis Class
PLS2WorksheetAnalysis.SerializationSurrogate0 Class
ScoresAndLoadingsNormalization Enumeration
SpectralPreprocessingMethod Enumeration
SpectralPreprocessingOptions Class
WorksheetAnalysis Class
WorksheetAnalysis.OriginalDataTableNotFoundException Class
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Altaxo.Calc.Regression.Multivariate Namespace

Contains multivariate regression and calibration models.
Classes
 ClassDescription
Public classCrossPredictedXResidualsEvaluator Evaluator that computes cross-validated residuals in X (spectral residuals).
Public classCrossPredictedYEvaluator Evaluates cross-validated predicted Y values.
Public classCrossPRESSEvaluator Evaluates the cross-validated predicted error sum of squares (Cross PRESS).
Public classCrossValidationGroupingStrategyExcludeGroupsOfSimilarMeasurements Groups together similar observations, i.e. observations that have exactly the same target values.
Public classCrossValidationGroupingStrategyExcludeGroupsOfSimilarMeasurementsSerializationSurrogate0 XML serialization surrogate for CrossValidationGroupingStrategyExcludeGroupsOfSimilarMeasurements.
Public classCrossValidationGroupingStrategyExcludeHalfObservations Groups the observations into two groups. It tries to split observations with the same target values as evenly as possible between the one group and the other group.
Public classCrossValidationGroupingStrategyExcludeHalfObservationsSerializationSurrogate0 XML serialization surrogate for CrossValidationGroupingStrategyExcludeHalfObservations.
Public classCrossValidationGroupingStrategyExcludeSingleMeasurements Strategy that groups each observation into its own group.
Public classCrossValidationGroupingStrategyExcludeSingleMeasurementsSerializationSurrogate0 XML serialization surrogate for CrossValidationGroupingStrategyExcludeSingleMeasurements.
Public classCrossValidationGroupingStrategyNone Represents the no-grouping strategy. Thus, a call to Group(IROMatrixDouble) will throw a NotImplementedException.
Public classCrossValidationGroupingStrategyNoneSerializationSurrogate0 XML serialization surrogate for CrossValidationGroupingStrategyNone.
Public classCrossValidationResult Stores the result(s) of cross validation.
Public classCrossValidationResultEvaluator Evaluator that fills a CrossValidationResult instance with predicted Y values and spectral residuals for all factors.
Public classCrossValidationWorker Base class for cross validation evaluators. Provides common configuration and data required to perform cross validation for multivariate regression.
Public classDimensionReductionAndRegressionDataSource Data source for algorithms based on dimension reduction and subsequent regression of the reduced dimensions (PLS1, PLS2, PCR).
Public classDimensionReductionAndRegressionOptions Process options for the multivariate analyses that feature a dimension reduction and regression.
Public classDimensionReductionAndRegressionOptionsSerializationSurrogate0 XML serialization surrogate (version 0).
Public classDimensionReductionAndRegressionOptionsSerializationSurrogate1 XML serialization surrogate (version 1).
Public classDimensionReductionAndRegressionPredictionDataSource Data source of a table that contains predicted data. The data are predicted from a multivariate model (a table containing a DimensionReductionAndRegressionDataSource) and a table containing the spectra used for prediction.
Public classDimensionReductionAndRegressionPredictionProcessData Contains the data used in DimensionReductionAndRegressionPredictionDataSource to predict values using a prediction model and spectral data.
Public classDimensionReductionAndRegressionPreprocessedXDataSource Data source for a table that contains preprocessed spectra originating from a DimensionReductionAndRegressionDataSource. Thus, this data source contains only a reference to a table containing the DimensionReductionAndRegressionDataSource. All data required to obtain the preprocessed spectra are contained in that data source.
Public classDimensionReductionAndRegressionResult Holds summary results created during execution of a dimension reduction and regression analysis.
Public classDimensionReductionAndRegressionResultSerializationSurrogate0 XML serialization surrogate (version 0).
Public classDimensionReductionAndRegressionResultSerializationSurrogate1 XML serialization surrogate (version 1).
Public classDimensionReductionByAggregation Dimension reduction analyses based on aggregation of data, for instance mean, min, or max.
Public classDimensionReductionByAggregationSerializationSurrogate0 XML serialization surrogate (version 0).
Public classDimensionReductionByAggregationResult Result of a dimension reduction by aggregation.
Public classDimensionReductionByFactorizationResult Result of a dimension reduction by factorization.
Public classDimensionReductionByLowRankFactorization Base class for dimension reduction analyses based on a factorization, for example principal component analysis (PCA) or non-negative matrix factorization (NMF).
Public classDimensionReductionByLowRankFactorizationSerializationSurrogate0 XML serialization surrogate (version 0).
Public classDimensionReductionByLowRankFactorizationSerializationSurrogate1 XML serialization surrogate (version 1).
Public classDimensionReductionDataSource Data source for algorithms based on dimension reduction (principal component analysis (PCA), non-negative matrix factorization (NMF), etc.).
Public classDimensionReductionNone Represents a dimension reduction method that performs no operation and returns nothing.
Public classDimensionReductionNoneSerializationSurrogate0 XML serialization surrogate (version 0).
Public classDimensionReductionNoneResult Result of a no-operational dimension reduction.
Public classDimensionReductionOptions Process options for multivariate analyses that feature a dimension reduction.
Public classDimensionReductionOptionsSerializationSurrogate0 XML serialization surrogate (version 0).
Public classDimensionReductionOutputOptions Process options for multivariate analyses that feature a dimension reduction.
Public classDimensionReductionOutputOptionsSerializationSurrogate0 XML serialization surrogate (version 0).
Public classMultivariateCalibrationModel Default implementation of IMultivariateCalibrationModel.
Public classMultivariateContentMemento This class is for remembering the content of the PLS calibration and where to found the original data.
Public classMultivariateContentMementoCrossPRESSCalculationTypeXmlSerializationSurrogate1 Serializes CrossPRESSCalculationType values.
Public classMultivariateLinearFitParameters Stores parameters for a multivariate linear regression.
Public classMultivariateLinearRegression Summary description for MultivariateLinearRegression.
Public classMultivariatePreprocessingModel Default implementation of IMultivariatePreprocessingModel.
Public classMultivariateRegression Contains methods common to all multivariate regressions.
Public classPCRCalibrationModel Calibration model for principal component regression (PCR).
Public classPCRRegression Implements principal component regression (PCR) analysis and prediction.
Public classPCRWorksheetAnalysis PCRWorksheetAnalysis performs a principal component analysis and subsequent regression and stores the results in a given table
Public classPCRWorksheetAnalysisSerializationSurrogate0 Serialization surrogate for PCRWorksheetAnalysis.
Public classPLS1CalibrationModel Calibration model for PLS1 regression.
Public classPLS1Regression Implements Partial Least Squares regression (PLS1), i.e. PLS regression for multiple target variables by running a separate PLS2 model for each target variable.
Public classPLS1WorksheetAnalysis PLS2WorksheetAnalysis performs a PLS1 analysis and stores the results in a given table
Public classPLS1WorksheetAnalysisSerializationSurrogate0 Serialization surrogate for PLS1WorksheetAnalysis.
Public classPLS2CalibrationModel Calibration model for PLS2 regression.
Public classPLS2Regression Implements Partial Least Squares regression (PLS2) analysis and prediction.
Public classPLS2WorksheetAnalysis PLS2WorksheetAnalysis performs a PLS2 analysis and stores the results in a given table
Public classPLS2WorksheetAnalysisSerializationSurrogate0 Serialization surrogate for PLS2WorksheetAnalysis.
Public classSpectralPreprocessingOptions Holds options that are applied to all spectra before they are processed by PLS or PCR.
Public classWorksheetAnalysis WorksheetMethods provides common utility methods for multivariate data analysis.
Public classWorksheetAnalysisOriginalDataTableNotFoundException Exception that is thrown when the original data table required for analysis cannot be found.
Structures
 StructureDescription
Public structureMultivariateAnalysisOptions Specifies options for running a multivariate analysis (e.g. Partial Least Squares).
Interfaces
 InterfaceDescription
Public interfaceICrossValidationGroupingStrategy Provides a strategy for grouping observation data (spectra, etc.) according to their corresponding calibration values (concentrations, etc.).
Public interfaceICrossValidationResult Stores the result(s) of cross validation.
Public interfaceIDimensionReductionMethod Base interface for dimension-reduction analyses, for example principal component analysis (PCA) or non-negative matrix factorization (NMF).
Public interfaceIDimensionReductionResult Represents the result of a dimension reduction method.
Public interfaceIMultivariateCalibrationModel Contains the basic data for a multivariate calibration model.
Public interfaceIMultivariatePreprocessingModel Contains the basic data that were obtained during preprocessing.
Public interfaceIPLS2CalibrationModel Defines the calibration model data required by a PLS2 regression.
Delegates
 DelegateDescription
Public delegateMultivariateRegressionCrossValidationIterationFunction Function used for a cross-validation iteration. During cross validation, the original spectral matrix is separated into a spectral group used for prediction and the remaining calibration spectra.
Enumerations
 EnumerationDescription
Public enumerationCrossPRESSCalculationType Determines how to calculate the cross-validated predicted error sum of squares (Cross PRESS).
Public enumerationScoresAndLoadingsNormalization Designates the normalization method for the resulting loadings and scores of a factorization-based dimension reduction method.
Public enumerationSpectralPreprocessingMethod Lists the available basic preprocessing methods.