Seasonal adjustment


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

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?


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 (listed as page 31).

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