| | Class | Description |
|---|
 | CrossPredictedXResidualsEvaluator | |
| CrossPredictedYEvaluator | |
| CrossPRESSEvaluator | |
| CrossValidationGroupingStrategyExcludeGroupsOfSimilarMeasurements |
This strategy groups together similar observations, i.e. observations that have exactly the same target values.
|
| CrossValidationGroupingStrategyExcludeGroupsOfSimilarMeasurements.SerializationSurrogate0 | |
| CrossValidationGroupingStrategyExcludeHalfObservations |
This strategy groups the observations into two groups. It try to part observations with the same target values
equally into the one group and the other group.
|
| CrossValidationGroupingStrategyExcludeHalfObservations.SerializationSurrogate0 | |
| CrossValidationGroupingStrategyExcludeSingleMeasurements |
Stragegy that groups each observation in an own group.
|
| CrossValidationGroupingStrategyExcludeSingleMeasurements.SerializationSurrogate0 | |
| CrossValidationGroupingStrategyNone |
Represents the no-grouping strategy. Thus a call to Group(IROMatrix<Double> ) will result in
a NotImplementedException.
|
| CrossValidationGroupingStrategyNone.SerializationSurrogate0 | |
| CrossValidationResult |
Stores the result(s) of cross validation.
|
| CrossValidationResultEvaluator | |
| CrossValidationWorker | |
| DimensionReductionAndRegressionDataSource |
Data source for an algorithm based on dimension reduction and then regression of the reduced dimensions (PLS1, PLS2, PCR).
|
| DimensionReductionAndRegressionOptions |
Process options for the multivariate analyses that feature a dimension reduction and regression.
|
| DimensionReductionAndRegressionOptions.SerializationSurrogate0 | |
| DimensionReductionAndRegressionPredictionDataSource |
Data source of a table that contains predicted data. The data were predicted from a multivariate model (a table containing a DimensionReductionAndRegressionDataSource),
and a table containing the spectra used for prediction.
|
| DimensionReductionAndRegressionPredictionProcessData |
Contains the data used in DimensionReductionAndRegressionPredictionDataSource to predict data using a prediction model, and some spectral data.
|
| DimensionReductionAndRegressionPreprocessedXDataSource |
Data source for a table that contains preprocessed spectra, originated from a DimensionReductionAndRegressionDataSource.
Thus, this data source contains only a reference to a table containing the DimensionReductionAndRegressionDataSource. All
data how to obtain the preprocessed spectra are contained in that data source.
|
| DimensionReductionAndRegressionResult | |
| DimensionReductionAndRegressionResult.SerializationSurrogate0 | |
| MultivariateCalibrationModel | |
| MultivariateContentMemento |
This class is for remembering the content of the PLS calibration and where to found the original data.
|
| MultivariateContentMemento.CrossPRESSCalculationTypeXmlSerializationSurrogate1 | |
| MultivariateLinearFitParameters | |
| MultivariateLinearRegression |
Summary description for MultivariateLinearRegression.
|
| MultivariatePreprocessingModel | |
| MultivariateRegression |
Contains method common for all multivariate regressions.
|
| PCRCalibrationModel | |
| PCRRegression |
PCRRegression contains static methods for doing principal component regression analysis and prediction of the data.
|
| PCRWorksheetAnalysis |
PCRWorksheetAnalysis performs a principal component analysis and subsequent regression and
stores the results in a given table
|
| PCRWorksheetAnalysis.SerializationSurrogate0 | |
| PLS1CalibrationModel | |
| PLS1Regression |
Summary description for PLS1Regression.
|
| PLS1WorksheetAnalysis |
PLS2WorksheetAnalysis performs a PLS1 analysis and
stores the results in a given table
|
| PLS1WorksheetAnalysis.SerializationSurrogate0 | |
| PLS2CalibrationModel | |
| PLS2Regression |
PLSRegression contains static methods for doing partial least squares regression analysis and prediction of the data.
|
| PLS2WorksheetAnalysis |
PLS2WorksheetAnalysis performs a PLS2 analysis and
stores the results in a given table
|
| PLS2WorksheetAnalysis.SerializationSurrogate0 | |
| SpectralPreprocessingOptions |
SpectralPreprocessingOptions holds the options applied to all spectra before processed by PLS or PCR.
|
| WorksheetAnalysis |
WorksheetMethods provides common utility methods for multivariate data analysis.
|
| WorksheetAnalysis.OriginalDataTableNotFoundException | |
Classes
