Seasonal adjustment

General
1

Hi,

I've created the following seasonally adjusted time series using the seasonal package:

seas(
x = ts1[, 1],
transform.function = "log",
regression.aictest = NULL,
outlier = NULL,
x11 = "",
regression.variables = c("const", "ao2018.May", "ls2020.Apr"),
arima.model = "(0 1 2)(0 1 1)"
)

Can anyone explain what the regression.variables mean? In particular the ao and ls for May and April respectively?

Thanks

2

The seasonal package has documentation for seas mentions "Via the ... argument, it is possible to invoke almost all options that are available in X-13ARIMA-SEATS "

There's docs on these variables at https://www.census.gov/ts/x13as/docX13AS.pdf#40 (listed as page 31).