TSLM_REGRESSION

TSLM (Time Series Linear Model) is a regression-based forecasting technique that models a time series as a function of time-related predictors, such as:

✅ Trend (time index as an independent variable)

✅ Seasonality (seasonal dummy variables)

✅ External Regressors (X-variables) (e.g., holidays, temperature, promotions)

This method is useful when external factors significantly influence a time series, making it more interpretable than black-box models like ARIMA or TBATS.