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