Blurb:: Type of solver for forming function train approximations by regression

Description::
Function train approximations are formed based on regression for the set of
coefficients described at \ref model-surrogate-global-function_train.  Solver
options include least squares and regularized regression, where the latter
penalizes high-order terms to mitigate overfitting.

<b> Default Behavior </b>

The default regression solver is least squares.

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