The ets model, which stands for Error, Trend, and Seasonality, is a forecasting method that captures the underlying patterns in time series data. It is particularly useful for handling data with seasonal fluctuations, allowing for accurate predictions by decomposing the series into its components. By using exponential smoothing, the ets model provides a flexible approach to account for various types of trends and seasonal effects.
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