👉 Unlagging, also known as backward lag or zero lag, is a technique used in time series analysis to identify trends and seasonal patterns. It involves excluding past data from the current sample of data. This approach helps to reduce noise and improve the accuracy of long-term forecasts. By ignoring past values, unlagged data becomes more stable and less affected by random fluctuations. This allows for more accurate predictions that consider historical context and potential changes in future trends. Unlagging is particularly useful when dealing
