The HPREG Procedure
The PROC HPREG statement invokes the procedure. Table 1 summarizes the options in the PROC HPREG statement by function.
Table 1: PROC HPREG Statement Options
| Option |
Description |
| Basic Options |
|
DATA= |
Specifies the input data set |
|
NAMELEN= |
Limits the length of effect names |
| Options Related to Output |
|
NOPRINT |
Suppresses ODS output |
|
NOCLPRINT |
Limits or suppresses the display of class levels |
| User-Defined Formats |
|
FMTLIBXML= |
Specifies a file reference for a format stream |
| Other Options |
|
ALPHA= |
Sets the significance level used for the construction of confidence intervals |
|
SEED= |
Sets the seed used for pseudorandom number generation |
Following are explanations of the options that you can specify in the PROC HPREG statement (in alphabetical order):
-
ALPHA=number
sets the significance level used for the construction of confidence intervals. The value must be between 0 and 1; the default value of 0.05 results in 95% intervals. This option affects the OUTPUT statement keywords LCL, LCLM, UCL, and UCLM, and the CLB option in the MODEL statement.
-
DATA=SAS-data-set
names the input SAS data set to be used by PROC HPREG. The default is the most recently created data set.
-
FMTLIBXML=file-ref
specifies the file reference for the XML stream that contains the user-defined format definitions. See the section Working with Formats for details about how to generate a XML stream for your formats.
-
NAMELEN=number
specifies the length to which long effect names are shortened. The default and minimum value is 20.
-
NOCLPRINT<=number>
suppresses the display of the "Class Level Information" table if you do not specify number. If you specify number, the values of the classification variables are displayed for only those variables whose number of levels is less than number. Specifying a number helps to reduce the size of the "Class Level Information" table if some classification variables have a large number of levels.
-
NOPRINT
suppresses the generation of ODS output.
-
SEED=number
specifies an integer used to start the pseudorandom number generator for random partitioning of data for training, testing, and validation. If you do not specify a seed, or if you specify a value less than or equal to 0, the seed is generated from reading the time of day from the computer’s clock.
Last updated: December 09, 2022