CHANGES IN RRPP VERSION 0.4.0

NEW FEATURES
    o manova.update function
    o trajectory.analysis function
    o reveal.model.designs function
    o New vignette for ANOVA versus MANOVA in RRPP

OTHER CHANGES
    o Added a pairwise variance comparison for the pairwise function.

BUG FIXES 
    o Tuned F-stat calculations to allow for model-specific residual variances, for multiple terms.
    o Updated procD.lm to better work with data in the gloabl environment rather than a data frame. 

CHANGES IN RRPP VERSION 0.3.0

NEW FEATURES
    o Added print.summary.pairwise.
    o Added model.comparison function.
    o Added classify function.
OTHER CHANGES
    o Added an update to allow classify to work on univeraite data.
BUG FIXES 
    o Tuned criterion for assessing whether generalized inverse should be performed.
    o Fixed bug with GLS variance estimation in pairwise.
    o Fixed some issues with univariate data for classify.
    o Fixed some issues with univariate data for pairwise.
    o Fixed the logL function within model.comparisons for GLS determinants (was returning 0).
    o Fixed some issues with the aov.multimodel subfunction of anova.lm.rrpp, related to GLS permutations and intercept only models.  
    o Added random SS output to aov.multimodel subfunction of anova.lm.rrpp, so that it can be called by other functions/packages.
    
    
CHANGES IN RRPP VERSION 0.2.0

NEW FEATURES
    o pairwise function: allows pairwise comparison of means or slopes for a lm.rrpp fit.
    o A vignette for using RRPP, which is the same as Appendix S2 in Collyer and Adams (2008). RRPP: An R package for fitting linear models to high-dimensional data using residual randomization. Methods in Ecology and Evolution.  (submitted)

OTHER CHANGES
    o Added multi-model inference capabaility to anova.lm.rrpp
    
BUG FIXES 
    o Fixed issue for coef.lm.rrpp tests when type II or type III SS is chosen, to make sure that appropriate coefficients are used.
 

CHANGES IN RRPP VERSION 0.1.0

	New Release!

	New features
		anova.lm.rrpp.r
		coef.lm.rrpp.r
		lm.rrpp.r
		predict.lm.rrpp.r
		RRPP.support.code.r
		RRPP.utils.r
