The function extracts 1 to h steps ahead forecast errors from the model.
Usage
rmultistep(object, h = 10, ...)
Value
The matrix with observations in rows and h steps ahead values in columns.
So, the first row corresponds to the forecast produced from the 0th observation
from 1 to h steps ahead.
Arguments
object
Model estimated using one of the forecasting functions.
The errors correspond to the error term epsilon_t in the ETS models. Don't forget
that different models make different assumptions about epsilon_t and / or 1+epsilon_t.