I have a question regarding what approach to building a predictive model in R would be best for my data.
Say I have a series of orders per month for the past 5 years. The data have three variables- month, year and sum or orders.
What is the best way to build a model that will predict the number of orders for next month based on the number of orders over the past 6 months and the normal seasonal peaks and troughs for the number of orders? What is the best way to approach this problem using R?
Unfortunately I do not have the data at hand, but am just asking generally how to approach this problem in R.
Thanks in advance.