tis or ts time series to cut off leading and trailing
NA observations.naWindow(x, union = F)tis or ts time seriesx with leading and trailing NA observations deleted.union = TRUE, a
row of x is considered to be NA if and only if all entries in
that row are NA. If union = FALSE (the default), a row is
considered to be NA if any of its entries is NA.window