*
* Example of exponential smoothing, pp 151-152
*
data(unit=input) 1 11 shipments
 200 135 195 197.5 310 175 155 130 220 277.5 235
*
* Exponential smoothing is done using the instruction ESMOOTH (or the Exponential
* Smoothing wizard). The alpha value is controlled by the alpha option. To get
* the fitted (one-step-forecast) values, use the FITTED option.
*
* @uforeerrors uses a procedure to analyze the forecast errors comparing the
* actual data (first parameter) with the predictions (second parameter) over the
* range given by the final two parameters. This will be used extensively in
* these examples.
*
esmooth(alpha=.1,fitted=sm1) shipments
@uforeerrors(title="SES with Alpha=.1") shipments sm1 2 11
esmooth(alpha=.5,fitted=sm5) shipments
@uforeerrors(title="SES with Alpha=.5") shipments sm5 2 11
esmooth(alpha=.9,fitted=sm9) shipments
@uforeerrors(title="SES with Alpha=.9") shipments sm9 2 11
*
graph(footer="Figure 4-7 Shipments of Electric Can Openers",$
 key=upleft,klabels=||"Observed Data","alpha=.1","alpha=.5","alpha=.9"||) 4
# shipments
# sm1
# sm5
# sm9