```
data(decathlon)
res.pca <- PCA(decathlon, quanti.sup = 11:12, quali.sup=13)
## plot of the eigenvalues
## barplot(res.pca$eig[,1],main="Eigenvalues",names.arg=1:nrow(res.pca$eig))
summary(res.pca)
plot(res.pca,choix="ind",habillage=13)
if (FALSE) {
## To describe the dimensions
dimdesc(res.pca, axes = 1:2)
## To draw ellipses around the categories of the 13th variable (which is categorical)
plotellipses(res.pca,13)
## Graphical interface
require(Factoshiny)
res <- Factoshiny(decathlon)
## Example with missing data
## use package missMDA
require(missMDA)
data(orange)
nb <- estim_ncpPCA(orange,ncp.min=0,ncp.max=5,method.cv="Kfold",nbsim=50)
imputed <- imputePCA(orange,ncp=nb$ncp)
res.pca <- PCA(imputed$completeObs)
}
```

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