Computes the squared Mahalanobis distance of all rows in `x`

.

## Arguments

- x
A CompositionMatrix object.

- center
A

`numeric`

vector giving the mean vector of the distribution. If missing, will be estimated from`x`

.- cov
A

`numeric`

matrix giving the covariance of the distribution. If missing, will be estimated from`x`

.- robust
A

`logical`

scalar: should robust location and scatter estimation be used (see`robustbase::covMcd()`

)?- ...
Extra parameters to be passed to

`robustbase::covMcd()`

. Only used if`robust`

is`TRUE`

.

## Value

A `numeric`

vector.

## See also

Other statistics:
`aggregate()`

,
`covariance`

,
`dist()`

,
`mean()`

,
`variation()`