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Fig.6 The NARX model used for CPI prediction  As can be s seen 1 by the figure there is only one nonzero correlation error occurred in zero lag, so we can say that the model is adequate and the prediction is very good. The mean square error for this time series is MSE=7. Regression R Value is R=0.9994 as shown in Fig. 8.

Figure 6 The NARX model used for CPI prediction As can be s seen 1 by the figure there is only one nonzero correlation error occurred in zero lag, so we can say that the model is adequate and the prediction is very good. The mean square error for this time series is MSE=7. Regression R Value is R=0.9994 as shown in Fig. 8.