1. Open Eviews software and import data. You can open the data file through File and in the menu bar, or through Data->; Fast-> Open the file to create a new working file.

2. Choose a suitable model to build. In Eviews, the commonly used prediction models are autoregressive moving average model (ARMA), autoregressive integral moving average model (ARIMA), vector autoregressive model (VAR) and so on. The appropriate model can be selected through data analysis and model verification.

3. Estimate and test the parameters of the model. After the model is established, the parameters of the model need to be estimated and tested to ensure the accuracy and reliability of the model.

4. Forecast future value. After estimating and testing the model, you can use the "prediction" function of Eviews to predict the future value. With the "Forecast" function, you can select parameters such as forecast period and confidence interval, and generate corresponding forecast results.

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5. Analyze the forecast results and make adjustments. The forecast results can be analyzed and adjusted by charts and data analysis, so as to better reflect the actual situation.