Is it possible to make an ARIMA forecasting with a dataset containing less than 2 years in observations?
database <- read.csv("STcomFAIXAetaria.csv", header=TRUE, sep=";")
data1.ts <- ts(database[,"X0.a.9.anos"], frequency = 12, start = c(2020,2))
fit.ARIMA <- auto.arima(data1.ts, seasonal = FALSE)
fcast <- forecast(fit.ARIMA, h=2)
It doesn't feel quite right. Am I doing something wrong? To make an arima forecast do I need two full periods?