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

ScoresAndLoadingsNormalization Enumeration

Designates the normalization method for the resulting loadings and scores of a factorization-based dimension reduction method.

Namespace: Altaxo.Calc.Regression.Multivariate
Assembly: AltaxoBase (in AltaxoBase.dll) Version: 4.8.3572.0 (4.8.3572.0)

Syntax

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public enum ScoresAndLoadingsNormalization

Members

Member name	Value	Description
Native	0	Specifies that the native platform implementation should be used (no further normalization applied).
AbsMaxScores	1	The maximum absolute value of the scores is normalized to 1.
AbsMaxLoadings	2	The maximum absolute value of the loadings is normalized to 1.

The ScoresAndLoadingsNormalization type exposes the following members.

Extension Methods

	Name	Description
	IsT	Determines whether the enumeration value is equal to the specified value. (Defined by EnumerationExtensions)
	WithClearedFlagT	Returns the enum value with the specified flag cleared. (Defined by EnumerationExtensions)
	WithFlagT	Returns the enum value with the specified flag set or cleared, depending on the value argument. (Defined by EnumerationExtensions)
	WithSetFlagT	Returns the enum value with the specified flag set. (Defined by EnumerationExtensions)

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Reference

Altaxo.Calc.Regression.Multivariate Namespace