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PartialLeastSquaresVariables Properties |
The PartialLeastSquaresVariables type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | CumulativeProportions |
Gets the cumulative variance explained by each latent factor.
Can be either by input variables' latent factors or output
variables' latent factors, depending if the variables chosen
are predictor variables or dependent variables, respectively.
|
| FactorMatrix |
Gets the loadings (a.k.a factors or components) for the
variables obtained during the analysis. Can be either from
input data or output data, depending if the variables chosen
are predictor variables or dependent variables, respectively.
|
| FactorProportions |
Gets the amount of variance explained by each latent factor.
Can be either by input variables' latent factors or output
variables' latent factors, depending if the variables chosen
are predictor variables or dependent variables, respectively.
|
| Means |
Gets the column means of the source data. Can be either from
input data or output data, depending if the variables chosen
are predictor variables or dependent variables, respectively.
|
| Result | Obsolete.
Gets the resulting projection (scores) of the source data
into latent space. Can be either from input data or output
data depending if the variables chosen are predictor variables
or dependent variables, respectively.
|
| Source | Obsolete.
Source data used in the analysis. Can be either input data
or output data depending if the variables chosen are predictor
variables or dependent variables, respectively.
|
| StandardDeviations |
Gets the column standard deviations of the source data. Can be either
from input data or output data, depending if the variables chosen are
predictor variables or dependent variables, respectively.
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See Also