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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.
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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.
If the procedure executes in distributed mode, the input data are distributed to memory on the appliance nodes and analyzed in parallel, unless the data are already distributed in the appliance database. In that case the procedure reads the data alongside the distributed database. See the section Processing Modes in SAS/STAT 14.2 User's Guide: High-Performance Procedures about the various execution modes and the section Alongside-the-Database Execution in SAS/STAT 14.2 User's Guide: High-Performance Procedures about the alongside-the-database model.
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FMTLIBXML=file-ref
specifies the file reference for the XML stream that contains the user-defined format definitions. User-defined formats are handled differently in a distributed computing environment than they are in other SAS products. See the section Working with Formats in SAS/STAT 14.2 User's Guide: High-Performance Procedures for details about how to generate a XML stream for your formats.
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NAMELEN=number
specifies the length to which long effect names are shortened. The default and minimum value is 20.
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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.
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NOPRINT
suppresses the generation of ODS output.
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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.