Extracts the residuals.

# S3 method for VAR
residuals(object, ...)

Arguments

object

The time series model used to produce the forecasts

...

Additional arguments for forecast model methods.

Value

A vector of fitted residuals.

Examples

lung_deaths <- cbind(mdeaths, fdeaths) %>% as_tsibble(pivot_longer = FALSE) lung_deaths %>% model(VAR(vars(mdeaths, fdeaths) ~ AR(3))) %>% residuals()
#> # A tsibble: 72 x 4 [1M] #> # Key: .model [1] #> .model index mdeaths fdeaths #> <chr> <mth> <dbl> <dbl> #> 1 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Jan NA NA #> 2 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Feb NA NA #> 3 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Mar NA NA #> 4 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Apr 189. 26.7 #> 5 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 May -46.7 -66.2 #> 6 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Jun 25.4 -45.8 #> 7 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Jul 60.3 21.2 #> 8 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Aug -291. -112. #> 9 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Sep -102. -83.7 #> 10 VAR(vars(mdeaths, fdeaths) ~ AR(3)) 1974 Oct 150. 102. #> # … with 62 more rows