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PartialLeastSquaresAnalysis Properties |
The PartialLeastSquaresAnalysis type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Algorithm |
Gets or sets the PLS algorithm used by the analysis.
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| Dependents |
Gets information about dependent (output) variables.
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| Factors |
Gets information about the factors discovered during the analysis in a
object-oriented structure which can be data-bound directly to many controls.
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| Importance |
Gets the Variable Importance in Projection (VIP).
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| MaximumNumberOfFactors |
Gets the maximum number of latent factors that can be considered in this model.
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| Method |
Gets or sets the method used by this analysis.
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| NumberOfInputs |
Gets the number of inputs accepted by the model.
(Overrides TransformBaseTInput, TOutputNumberOfInputs.) |
| NumberOfLatentFactors |
Gets or sets the number of latent factors that can be considered in this model.
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| NumberOfOutputs |
Gets the number of outputs generated by the model.
(Overrides TransformBaseTInput, TOutputNumberOfOutputs.) |
| Output | Obsolete.
Gets the dependent variables' values
for each of the source input points.
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| Overwrite |
Gets or sets whether calculations will be performed overwriting
data in the original source matrix, using less memory.
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| Predictors |
Gets information about independent (input) variables.
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| Source | Obsolete.
Source data used in the analysis.
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| Token |
Gets or sets a cancellation token that can be used to
stop the learning algorithm while it is running.
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| Weights |
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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See Also