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Can I include groups with missing values in the output?

Yes, `includeMissing=TRUE` specifies that groups with a missing value in a groupBy variable are included in the `casOut` table. The default is `FALSE`.

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On: groupByInfo

What are the possible values for the 'on' parameter and what is the default?

The 'on' parameter can be set to TRUE or FALSE. The default value is FALSE.

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On: metrics

What does the 'minGroupsLL' parameter do?

The 'minGroupsLL' parameter specifies the minimum number of groups required for using post-read parallel algorithms. The default is 100000, and the minimum value is 1.

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On: groupByInfo

saveState

specifies the table to store the generated aStore model. For more information about specifying the saveState parameter, see the common casouttable parameter.

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On: forestTrain

What criteria can be used to determine the number of factors?

You can specify criteria using the "type" parameter within the "criteria" list. Valid types include "EIGENVALUE" (minimum eigenvalue), "MAP2" (minimum average squared partial correlation), "MAP4" (minimum average fourth-power partial correlation), "PARALLEL" (parallel analysis), and "PROPORTION" (proportion of variance explained).

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On: faNFactors