An S4 class to store the bootstrap of a principal components analysis.

## Note

This class inherits from `PCA`

and `MultivariateBootstrap`

.

## Examples

```
## Bootstrap on CA
## Data from Lebart et al. 2006, p. 170-172
data("colours")
## Compute correspondence analysis
X <- ca(colours)
## Bootstrap (30 replicates)
Y <- bootstrap(X, n = 30)
if (FALSE) {
## Get replicated coordinates
get_replications(Y, margin = 1)
get_replications(Y, margin = 2)
}
## Plot with ellipses
viz_rows(Y)
viz_tolerance(Y, margin = 1, level = c(0.68, 0.95))
viz_columns(Y)
viz_tolerance(Y, margin = 2, level = c(0.68, 0.95))
## Plot with convex hulls
viz_columns(Y)
viz_hull(Y, margin = 2)
## Bootstrap on PCA
## Compute principal components analysis
data("iris")
X <- pca(iris)
#> 1 qualitative variable was removed: Species.
## Bootstrap (30 replicates)
Y <- bootstrap(X, n = 30)
## Plot with ellipses
viz_variables(Y)
viz_tolerance(Y, margin = 2, level = c(0.68, 0.95))
```