I would to forecast a not-seasonal time serie in R. This is my serie and the model built with HoltWinters:
tsRedditoMedioForecast <- HoltWinters(redditoMedio, beta=FALSE, gamma=FALSE)
If beta and gamma parameters are FALSE, I built a Brown model that haven't seasonal component.
For forecasting, I imported the library "forecast" in my workspace:
install.packages('forecast', dependencies = TRUE) library('forecast')
Last step: I would to forecast and calculate the value for the next 10 units. I put this R code:
tsRedditoMedioForecast2 <- forecast(tsRedditoMedioForecast, h=10) plot(tsRedditoMedioForecast2)
I have expected results with ETS and auto.arima models
Why not with HoltWinters?