Blurb:: Enable GPMSA-internal normalization

Description:: 

Normalize variables and data (surrogate model build and experiment)
when constructing the underlying Gaussian Process emulator.  When
specified, this option will normalize calibration parameters and
configuration (scenario) variables based on the min/max of the build
data.  It will normalize simulation and experiment data by the mean
and variance of the simulation build data.

<b> Default Behavior </b>
No GPMSA-specific scaling used.

Examples::

\verbatim
method
  bayes_calibration gpmsa
    chain_samples 1000
    seed 2460
    ...
    gpmsa_normalize
\endverbatim