The DoublePCA type exposes the following members.
Properties
| Name | Description | |
|---|---|---|
 | CumulativeVarianceProportions |
Gets the cumulative variance proportions.
|
| Data |
Gets the data matrix.
|
| Eigenvalues |
Gets the eigenvalues of the covariance/correlation matrix, though the
calculation is actually performed using the singular values of the data
matrix.
|
| IsCentered |
Returns true if the data supplied at construction time was
shifted to be zero-centered.
|
| IsScaled |
Returns true if the data supplied at construction time was
scaled to have unit variance.
|
| Item |
Gets the specified principal component.
|
| Loadings |
Gets the loading matrix. Each column is a principal component.
|
| Means |
Gets the column means of the data matrix.
|
| Norms |
Gets the column norms (1-norm).
|
| NumberOfObservations |
Gets the number of observations in the data matrix.
|
| NumberOfVariables |
Gets the number of variables in the data matrix.
|
| Scores |
Gets the score matrix.
|
| StandardDeviations |
Gets the standard deviations of the principal components.
|
| VarianceProportions |
Gets the proportion of the total variance accounted for by each
principal component.
|
