### Output Data Sets

You can use the OUTPUT statement to create a new SAS data set that contains the estimated linear predictors and their standard error estimates, the residuals from the linear regression, and the confidence limits for the predictors. See the section OUTPUT Statement for more details.

You can use the Output Delivery System (ODS) to create SAS data sets that capture the outputs from PROC SURVEYREG. For more information about ODS, see Chapter 20: Using the Output Delivery System.

For example, to save the ParameterEstimates table (Figure 94.7) in the previous section in an output data set, you use the ODS OUTPUT statement as follows:

```title1 'Ice Cream Spending Analysis';
title2 'Stratified Sample Design';
proc surveyreg data=IceCream total=StudentTotals;
class Kids;
model Spending = Income Kids / solution;
weight Weight;
ods output ParameterEstimates = MyParmEst;
run;
```

The statement

```ods output ParameterEstimates = MyParmEst;
```

requests that the ParameterEstimates table that appears in Figure 94.7 be placed into a SAS data set `MyParmEst`.

The PRINT procedure displays observations of the data set `MyParmEst`:

```
proc print data=MyParmEst;
run;
```

Figure 94.8 displays the observations in the data set `MyParmEst`. The section ODS Table Names gives the complete list of the tables produced by PROC SURVEYREG.

Figure 94.8: The Data Set `MyParmEst`

 Ice Cream Spending Analysis Stratified Sample Design

Obs Parameter Estimate StdErr DenDF tValue Probt
1 Intercept -26.086882 2.44108058 37 -10.69 <.0001
2 Income 0.776699 0.04295904 37 18.08 <.0001
3 Kids 1 0.888631 1.07000634 37 0.83 0.4116
4 Kids 2 1.545726 1.20815863 37 1.28 0.2087
5 Kids 3 -0.526817 1.32748011 37 -0.40 0.6938
6 Kids 4 0.000000 0.00000000 37 . .