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What is the purpose of the `limitN` parameter?

The `limitN` parameter specifies a nominal sample size for the control limits. If you provide a value for `limitN`, the control limits are calculated for that fixed sample size. Subgroups with sample sizes that do not match this nominal size may be excluded from the analysis, depending on other parameter settings.

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On: maChart

How do you specify the autoregressive part of an ARIMA model in this action?

The autoregressive polynomials are specified using the 'p' parameter within the 'estimate' options. You can define one or more polynomial factors, each with its list of lags.

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On: arima

What is the seed parameter for in genmod Action?

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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On: genmod

Are there any specific considerations for Python and R clients when loading an action set?

Yes, the documentation provides a specific note for Python and R clients regarding the loading of an action set, which should be consulted for details.

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On: loadActionSet

How can I save the trained clustering model for later use?

The 'store' parameter allows you to save the resulting model in a CAS table as a binary large object (blob) for future scoring with the 'mbcScore' action.

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On: mbcFit