The forecast
method contains many objects that you can display, such as the fitted value, original values, confidence intervals, and residuals. Use str(forecast(fit))
to see which objects are available.
We will use cbind
to print out the original data point, fitted data point, and model fitting method.
cbind(forecast(fit)$method,forecast(fit)$x,forecast(fit)$fitted,forecast(fit)$residuals) Time Series: Start = 1999 End = 2012 Frequency = 1 forecast(fit)$method forecast(fit)$x forecast(fit)$fitted forecast(fit)$residuals 1999 ETS(A,N,N) 0.15412470117969 0.154120663632029 4.03754766081788e-06 2000 ETS(A,N,N) 0.157413125646824 0.154124700770241 0.00328842487658335 2001 ETS(A,N,N) 0.162942355969924 0.157412792166205 0.00552956380371911 2002 ETS(A,N,N) 0.160986044554207 0.162941795214416 -0.001955750660209 2003 ETS(A,N,N) 0.148533847659868 0.160986242887746 -0.0124523952278778...