 | Sparse |
The SparsePlsDa type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Calculator |
Gets and sets the calculator.
(Inherited from PLS2) |
| CenteredScaledX | Matrix of scaled, centered X values. |
| CenteredScaledY | Matrix of scaled centered Y values. |
| CMatrix | Matrix of coefficients used internally for prediction. |
| IndicatorMatrix | Gets the indicator matrix (dummy block matrix) used in the calculation. The indicator matrix has G columns, where G is the number of classes containing ones and zeros. The gth column is one and the others zero for observations of class g. |
| IsGood |
Whether the calculation was successful.
(Inherited from PLS2) |
| KeepX | Get and sets the number of X variables kept in the model for each component. |
| Message |
Gets any message that may have been generated by the algorithm. For
example, if the calculation is unsuccessful, the message indicate the
reason.
(Inherited from PLS2) |
| NumComponents |
Gets and sets the number of predictor variable components to use
in the calculation.
(Inherited from PLS2) |
| X |
Gets the predictor matrix.
(Inherited from PLS2) |
| XLoadings | Gets the matrix of X loadings. |
| XVariates | Gets the matrix of X variates or scores. |
| Y |
Gets the response matrix.
(Inherited from PLS2) |
| YFactor | Gets the catagorical response varible used in the calculation as a Factor . |
| YLoadings | Gets the matrix of Y loadings. |
| YVariates | Gets the matrix of Y variates or scores. |
See Also