This function predicts the QTS of a new sample from the PCA decomposition of a previous sample.

## Usage

```
# S3 method for prcomp_qts
predict(object, newdata, ...)
```

## Arguments

- object
An object of class

`prcomp_qts`

as produced by the`prcomp.qts_sample()`

method.- newdata
An object of class

`qts`

or`qts_sample`

specifying a QTS or a sample of QTS. The QTS should be evaluated on the same grid as the one used to fit the PCA model. If the evaluation grids map the same domain but with different sampling frequenciesa, the QTS will be linearly interpolated (in the Lie algebra) to the common grid used to fit the PCA model.- ...
Additional arguments. Not used here.

## Value

An object of class `qts_sample`

containing the predicted QTS.