The PLS1NipalsAlgorithm type exposes the following members.
Properties
| Name | Description | |
|---|---|---|
 | IsGood |
Whether the most recent calculation was successful.
(Overrides IPLS1Calc..::.IsGood.) |
| Loadings |
Gets the loadings matrix for PredictorMatrix. The loadings matrix
is described in the class summary.
(Overrides IPLS1Calc..::.Loadings.) |
| Message |
Gets any message that may have been generated by the algorithm. For example,
if the calculation is unsuccessful, the message indicates the reason.
(Overrides IPLS1Calc..::.Message.) |
| PredictorMean |
Gets the vector of means for the predictor variables.
|
| RegressionVector |
Gets the vector of regression, r, which can be used for making
predictions as follows:
Let ybar and xbar be the means of the response and
predictor variables, respectively, used to create the model. Then
the predicted response, yhat, for a predictor vector, z
is given by the formula
|
| ResponseMean |
Gets the vector of means for the response variables.
|
| ResponseWeights |
Gets the vector of response weights. The ith element of this vector
corresponds to the regression coefficient calculated by ordinary linear
regression of the response vector on the ith score vector.
|
| Scores |
Gets the scores matrix for PredictorMatrix. The scores matrix
is described in the class summary.
(Overrides IPLS1Calc..::.Scores.) |
| Weights |
Returns the matrix of weights computed by the algorithm.
|
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