I have turned the nu_vert_res_dep family of variables into a derived type and that variable is now being passed throughout the CLUBB code, rather than accessing variables through a USE statement.
Add 3 new features to dashboard: 1) Add Huber (confusingly called "Ransac") regressor to find a fit that de-weights outliers. The goal is to identify tuning trade-offs. 2) Add ElasticNet regressor. The goal here is to obtain a good fit that doesn't perturb the parameters too much, and that leaves some parameter values unchanged if possible. 3) Add a routine to create PCA biplots. The goal here is to identify outliers (i.e., tuning trade-offs) analytically.