Patch Release 2.0.1

NEW FEATURES

• Updated all QR decompositions that forced dense-matrix methods when not needed.
• Added functions to remove design matrix parameter redundancies without using QR decomposition.

BUG FIXES

• Fixed issues with model matrices for new data in predict.lm.rrpp and made the code more universal for different model formulae.
• Fixed standard error method for intercepts in .coef.lm.rrpp.
• Fixed some circularity issues with .lm.rrpp associated with covariance matrices (causing non-adjusted matrices).
• Fixed some issues with multiple functions that misused the logical subTest output from lm.rrpp.ws.
• Fixed issues with anova.multi.model and logL related to missing Pcov when GLS models are used.