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The seed parameter specifies a seed for starting the pseudorandom number generator. The default value is 0, and the range is 0 to 4294967295....
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Model selection is performed using the selection parameter, which accepts a selectionStatement structure. This includes options for method, candidates, choose, details, elasticNetOptions, fast, hierarchy, kappa, maxEffects, maxSteps, minEffects, orderSelect, plots, relaxed, select, slEntry, slStay, ...
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Spline effects are specified using the spline parameter, which accepts a list of spline structures. Each structure defines basis, dataBoundary, degree, details, knotMax, knotMethod, knotMin, name (required), naturalCubic, separate, split, and vars (required list of variable names)....
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When set to True, the ss3 parameter performs Type 3 effect tests. This applies to full-rank parameterizations or models with constructed effects. The default value is False....
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Regression models are stored to a binary large object (BLOB) using the store parameter. It accepts a casouttable structure, which includes options for caslib, label, lifetime, memoryFormat, name, promote, replace, and tableRedistUpPolicy....
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The storetext parameter specifies text to store that will be displayed when you restore the model. It accepts a list of strings....
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The input data table is specified using the table parameter, which accepts a castable structure. This structure includes options for caslib, computedOnDemand, computedVars, computedVarsProgram, dataSourceOptions, groupBy, groupByMode, importOptions, name (required), orderBy, singlePass, vars, and wh...
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The target parameter specifies the target variable to use for analysis....
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When set to True, the useLastIter parameter displays all tables even if there is an optimization error. The default value is False....
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The weight parameter names the numeric variable to use to perform a weighted analysis of the data....
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The weightNorm parameter adjusts the weights so that the total weight equals the total frequency. The default value is False....
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The genmodScore action creates a table on the server that contains results from scoring observations by using a fitted model....
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```
regression.genmodScore /
alpha=double,
casOut={
caslib="string",
compress=TRUE | FALSE,
indexVars={
"variable-name-1"
},
label="string",
lifetime=64-bit-integer,
maxMemSize=64-bit-integer,
memoryFormat="DVR" |...
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Parameters for Reading Input Tables:
- Parameter: `restore` (required)
- Subparameter: —
- Description: restores regression models from a binary large object (BLOB).
- Parameter: `table` (required)
- Subparameter: —
- Description: specifies the input data table.

Parameters for Creating ...
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Specifies the significance level to use for the construction of confidence intervals. By default, this is set to the global significance level. Range: (0, 1)....
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Specifies the settings for an output table. For more information about specifying the casOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters)....
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Names the confidence interval displacement, which measures the overall change in the global regression estimates that can be attributed to deleting the individual observation....
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Specifies a list of one or more variables to be copied from the input table to the output table. You can alternatively specify the value ALL, or ALL_NUMERIC, which respectively copies all variables, or all numeric variables from the input table to the output table....
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Names the change in the Pearson chi-square statistic that can be attributed to deleting the individual observation....
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Names the change in the deviance that can be attributed to deleting the individual observation....
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Specifies a list of results tables to send to the client for display. For more information about specifying the display parameter, see the common displayTables parameter (Appendix A: Common Parameters)....
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When set to True, specifies that the data to be scored were also used to fit the model. Default: FALSE....
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Names the leverage of the observation. Alias: hatDiag....
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Names the predicted response level....
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Specifies the predicted event probability that determines the predicted binary response level. Default: 0.5....
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Names the individual predicted value for a cumulative link. If you do not specify any output statistics, then by default the predicted value is named _IPRED_. Aliases: ip, individual....
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Names the lower bound of a confidence interval for the linear predictor. Aliases: lowerXBeta, lowerLinP....
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Names the lower bound of a confidence interval for the mean. Aliases: lower, lowerMean....
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Names the ordered response level....
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When set to True, computes multinomial output statistics at the observed response level. Default: FALSE....
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Lists the names of results tables to save as CAS tables on the server. For more information about specifying the outputTables parameter, see the common outputTables parameter (Appendix A: Common Parameters). Alias: displayOut....
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Names the predicted value. If you do not specify any output statistics, then by default the predicted value is named _PRED_. Aliases: p, predicted, iLink, mean....
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Names the Pearson chi-square residual. Aliases: pearson, pears....
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Names the deviance residual. Alias: devResid....
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Names the likelihood residual (likelihood displacement). Aliases: likeDist, ld, resLike....
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Names the raw residual. Aliases: r, resid, residual, rawResid....
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Restores regression models from a binary large object (BLOB). Long form: `restore={name="table-name"}`. Shortcut form: `restore="table-name"`. The castable value can be one or more of the following: caslib, dataSourceOptions, name (required), whereTable (with sub-parameters casLib, dataSourceOptions...
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Names the working residual....
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Identifies the training, validation, and test roles for the observations....
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Names the standardized Pearson chi-square residual. Aliases: adjPearson, adjPears....
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Names the standardized deviance residual. Alias: stdDevResid....
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Names the standard error of the linear predictor. Alias: stdP....
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Specifies the input data table. For more information about specifying the table parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters)....
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Names the upper bound of a confidence interval for the linear predictor. Aliases: upperXBeta, upperLinP....
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Names the upper bound of a confidence interval for the mean. Aliases: upper, upperMean....
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Names the linear predictor. Alias: linP....
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The getCacheInfo Action retrieves information about CAS disk cache usage, the CAS server directory name, and the file system path for that cache....
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The 'format' parameter, when set to False, returns numeric values instead of human-readable formatted values. Its alias is 'formatted' and the default value is TRUE....
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The getLicensedProductInfo Action shows the information for licensed SAS products....
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An example of how to use the getLicensedProductInfo Action can be found in the documentation under "Get All SAS Products License Information"....
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