`plot_loading` plot the loading of the a MPCA object.

## Usage

```
plot_loading(Object, type = "n", pc = 1, thresh, ...)
# S4 method for projected
plot_loading(Object, type = "b", pc = 1, thresh, ...)
```

## Arguments

- Object
a MPCA object

- type
the value type of loadings,

*p*for positive,*n*for negative, and*b*for negative and positive loading values.- pc
the principal component to plot.

- thresh
numerical value. A threshold to remove low loading values.

- ...
Other parameters passes to

`filled.contour`

function.

## Details

This function takes the loadings of MPCA and eval if a certain variable was removed previous compute de MPCA and it fills the removed variables with zero. Then, the loadings are plotted considering one principle component at a time as a two-dimensional chromatogram.

## Examples

```
library(colorRamps)
data(MTBLS579)
# MPCA with mean-centered and scaled data
MTBLS579_mpca <- m_prcomp(MTBLS579)
# Negative loadings of the first principal component
# \donttest{
plot_loading(MTBLS579_mpca, type = "n", pc = 1,
color.palette = matlab.like)
# Positive loadings of the first principal component
plot_loading(MTBLS579_mpca, type = "p", pc = 1,
color.palette = matlab.like)
# }
```