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The class is initialized by passing the following arguments:
- regression_procedure
- - a fully qualified name of the module/class in
which the regression is implemented (see Section 7.6.5).
- submodel_string
- - If model contains submodels, this character string
specifies what attribute of the observation set determines those submodels.
- run_config
- - A collection of additional arguments that control a
simulation run. It should be of class Resources.
- estimate_config
- - A collection of additional arguments that control an
estimation run. It should be of class Resources.
From the argument regression_procedure the initialization method
creates a class attribute regression, using
RegressionModelFactory (see Section 7.6).
The remaining arguments are set as class properties.
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