PartialLeastSquaresModel Properties

Properties

BaseFeatureIndex Gets an index containing the keys of the columns that are required inputs to the model.
(Inherited from Model)
Coefficients Gets a matrix containing the (unstandardized) coefficients of the Partial Least Squares regression.
Computed Gets whether the model has been computed.
(Inherited from Model)
Obsolete.
Data Gets an object that contains all the data used as input to the model.
(Inherited from Model)
DependentVariables Gets a matrix that contains the dependent variables that are to be fitted.
Fitted Gets whether the model has been computed.
(Inherited from Model)
IndependentVariables Gets a matrix whose columns contain the independent variables in the model.
InputSchema Gets the schema for the features used for fitting the model.
(Inherited from Model)
Intercepts Gets a matrix containing the intercept term of the Partial Least Squares regression.
MaxDegreeOfParallelism Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model)
Method Gets or sets the method used to compute the PLS model.
ModelSchema Gets the collection of variables used in the model.
(Inherited from Model)
NumberOfComponents Gets or sets the number of components to calculate.
NumberOfObservations Gets the number of observations the model is based on.
(Inherited from Model)
ParallelOptions Gets or sets an object that specifies how the calculation of the model should be parallelized.
(Inherited from Model)
PredictedValues Gets the values of the dependent variables as predicted by the model.
StandardizedCoefficients Gets a matrix containing the standardized coefficients of the Partial Least Squares regression.
Status Gets the status of the model, which determines which information is available.
(Inherited from Model)
SupportsWeights Indicates whether the model supports case weights.
(Inherited from Model)
VariableImportanceInProjection Gets a matrix that contains the Variable Importance in Projection (VIP) value for each variable and each number of components.
WeightMatrix Gets the weights of the independent variables.
Weights Gets or sets the actual weights.
(Inherited from Model)
XCumulativeVarianceExplained Gets a vector containing the cumulative proportion of variance in the independent variables explained by each the component
XDistanceToModel Gets a vector containing the distance to the model of the independent variables.
XLoadings Gets the scores matrix of the independent variables.
XResiduals Gets the residuals of the independent variables.
XScalingMethod Gets or sets how independent variables are scaled.
XScores Gets the loadings matrix of the independent variables.
XVarianceExplained Gets a vector containing the proportion of variance in the independent variables explained by each the component
YCumulativeVarianceExplained Gets a vector containing the cumulative proportion of variance in the dependent variables explained by each the component
YDistanceToModel Gets a vector containing the distance to the model of the dependent variables.
YLoadings Gets the scores matrix of the dependent variables.
YResiduals Gets the residuals of the dependent variables.
YScalingMethod Gets or sets how dependent variables are scaled.
YScores Gets the loadings matrix of the dependent variables.
YVarianceExplained Gets a vector containing the proportion of variance in the dependent variables explained by each the component

See Also