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The TPSPLINE Procedure |

**OUTPUT***OUT=**SAS-data-set*<*keyword*... keyword >**;**

The OUTPUT statement creates a new SAS data set containing diagnostic measures calculated after fitting the model.

You can request a variety of diagnostic measures that are calculated for each observation in the data set. The new data set contains the variables specified in the MODEL statement in addition to the requested variables. If no

Details on the specifications in the OUTPUT statement are as follows.

**OUT=***SAS-data-set*-
specifies the name of the new data set to contain the diagnostic
measures. This specification is required.
*keyword*- specifies the statistics to include in the output data set.
The names of the new variables that contain the statistics
are formed by using a prefix of one or more characters that
identify the statistic, followed by an underscore (_), followed by
the dependent variable name.

For example, suppose that you have two dependent variables, say y1 and y2, and you specify the keywords PRED, ADIAG, and UCLM. The output SAS data set will contain the following variables.- P_y1 and P_y2
- ADIAG_y1 and ADIAG_y2
- UCLM_y1 and UCLM_y2

The keywords and the statistics they represent are as follows:- RESID | R
- residual values, calculated as

ACTUAL - PREDICTED - PRED
- predicted values
- STD
- standard error of the mean predicted value
- UCLM
- upper limit of the confidence interval for the expected value of the dependent variables. By default, PROC TPSPLINE computes 95% confidence limits.
- LCLM
- lower limit of the confidence interval for the expected
value of the dependent variables. By default, PROC
TPSPLINE computes 95% confidence limits.
- ADIAG
- diagonal element of the hat matrix associated with the observation

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