1Blurb:: Use regularized regression solver for forming function train approximations
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3Description::
4RLS2 is a regularized least squares solver that applies an \a L2 penalty
5to mitigate overfitting.  It includes the option to specify a penalty parameter.
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7Topics::
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9Examples::
10Theory::
11Faq::
12See_Also::  model-surrogate-global-function_train-regression_type-rls2-l2_penalty
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