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PartialLeastSquaresAnalysis Properties

The PartialLeastSquaresAnalysis type exposes the following members.

Properties
  NameDescription
Public propertyAlgorithm
Gets or sets the PLS algorithm used by the analysis.
Public propertyDependents
Gets information about dependent (output) variables.
Public propertyFactors
Gets information about the factors discovered during the analysis in a object-oriented structure which can be data-bound directly to many controls.
Public propertyImportance
Gets the Variable Importance in Projection (VIP).
Public propertyMaximumNumberOfFactors
Gets the maximum number of latent factors that can be considered in this model.
Public propertyMethod
Gets or sets the method used by this analysis.
Public propertyNumberOfInputs
Gets the number of inputs accepted by the model.
(Overrides TransformBaseTInput, TOutputNumberOfInputs.)
Public propertyNumberOfLatentFactors
Gets or sets the number of latent factors that can be considered in this model.
Public propertyNumberOfOutputs
Gets the number of outputs generated by the model.
(Overrides TransformBaseTInput, TOutputNumberOfOutputs.)
Public propertyOutput Obsolete.
Gets the dependent variables' values for each of the source input points.
Public propertyOverwrite
Gets or sets whether calculations will be performed overwriting data in the original source matrix, using less memory.
Public propertyPredictors
Gets information about independent (input) variables.
Public propertySource Obsolete.
Source data used in the analysis.
Public propertyToken
Gets or sets a cancellation token that can be used to stop the learning algorithm while it is running.
Public propertyWeights
Gets the Weight matrix obtained during the analysis. For the NIPALS algorithm this is the W matrix. For the SIMPLS algorithm this is the R matrix.
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