Returns the importance measure for each component. For PLS, these are
singular values. For CPCA, eigenvalues. For ICA, explained variance.
Usage
importance(x, normalize = FALSE, ...)
Arguments
- x
An mva_result or pls_result object
- normalize
Return as proportion of total (percentage)
- ...
Additional arguments
Value
Numeric vector of importance values