# Using an estimated benchmark model on another time series

Source:`R/twoStepsBenchmark.R`

`reUseBenchmark.Rd`

This function reapplies the coefficients and parameters of a benchmark on new time series.

## Arguments

- hfserie
the bended time series. If it is a matrix time series, it has to have the same column names than the

`hfserie`

used for the benchmark.- benchmark
a twoStepsBenchmark object, from which the parameters and coefficients are taken.

- reeval.smoothed.part
a boolean of length 1. If

`TRUE`

, the smoothed part is reevaluated, hence the aggregated benchmarked series is equal to the low-frequency series.

## Value

`reUseBenchmark`

returns an object of class twoStepsBenchmark.

## Details

`reUseBenchmark`

is primarily meant to be used on a series that is derived
from the previous one, after some modifications that would bias the
estimation otherwise. Working-day adjustment is a good example. Hence, by
default, the smoothed part of the first model isn't reevaluated ; the
aggregated benchmarked series isn't equal to the low-frequency series.

## Examples

```
benchmark <- twoStepsBenchmark(turnover,construction)
turnover_modif <- turnover
turnover_modif[2] <- turnover[2]+2
benchmark2 <- reUseBenchmark(turnover_modif,benchmark)
```