FAiR 0.4-7 on 02-24-2011 to fix a potential clash with stats4
	* Actually, the 0.4-5 and 0.4-6 fixed similarly minor issues

FAiR 0.4-4 on 01-12-2009 to fix another warning from R-devel
	* Missed one warning last time

FAiR 0.4-3 on 01-09-2009 to fix warnings from R-devel
	* Changes in the signature to the plot methods
	* Fix manpages to comply with experimental parser

FAiR 0.4-2 on 10-06-2008 to fix documentation
	* Only cosmetic changes

FAiR 0.4-1 on 10-03-2008 to fix breakage
	* The acov slot of a manifest is temporarily of class "dMatrix"

FAiR 0.4-0 on 07-09-2008 in preparation for the POLMETH conference
	* New virtual class, "manifest", that encapsulates the left-hand side of the model
		- Inherited classes: 
			+ manifest.basic (superclass) if a covariance matrix is passed
			+ manifest.basic.userW if a weight matrix is also passed  
			+ manifest.basic.data is the raw numeric data are available
			+ manifest.data.ordinal if some variables are ordinal
			+ manifest.data.ranks if the variables have be converted to ranks
			+ manifest.basic.mcd if the MCD estimator was used
		- Some methods are written for these classes, mostly just for manifest.basic
	* New essential function, make_manifest(), to construct a "manifest.*" object
		- Change in workflow: make_manifest(), make_restrictions(), Factanal() ...
		- Some of the old functionality of make_restrictions() is now in make_manifest()
		- New ways to estimate a covariance or correlation matrix
			+ with missing data, using library(mlest)
			+ with shrinkage, using library(corpcor) and FAiR_shrink() in Utils.R
			+ Minimum Covariance Determinant (MCD), much improved over 0.2-0
			+ based on Spearman rank correlations
			+ polychoric and polyserial based on hetcor() in library(polycor)
			+ bootstrapping the covariance matrix is available in many of cases
	* New virtual class, "parameter", that represents a parameter to be estimated
		- Inherited classes:
			+ parameter.cormat for factor intercorrelation matrices
			+ parameter.coef.{nl,SEFA,SEFA.nl} for primary pattern matrices
			+ parameter.scale for scale matrices
		- User internally with the new make_parameter() methods
	* make_restrictions() is now S4 generic with lots of methods for parameter combinations
	* New ways of specifying restrictions in make_restrictions()
		- Much consolidation of pop-up menus making it easier to avoid some of them
		- Easier to specify things at the command prompt via the new methodArgs argument
	* New discrepancy functions, including and related to the Asymptotic Distribution Free (ADF)
		- Elliptical, special case of ADF with common excess kurtosis
		- Heterogenous Kurtosis (HK), special case of ADF
		- Shrunk Heterogenous Kurtosis (SHK), special case of ADF
	* New (correct) implementation of the embedded correlation factor analysis model 
	* New mapping rules in semi-exploratory factor analysis (SEFA)
		- Put (some) zeros on high communality variables
		- Either two or no zeros for each manifest variable
	* New exact restrictions
		- Constrain two or more coefficients to be equal to each other
		- Arbitrary restrictions where one or more coefficients is some function of the others
	* New inequality restrictions
		- Order restrictions on factor contributions by row and / or column
		- Designate the "best" indicators for any factor
		- Prohibit some coefficients from being zero in SEFA
		- Require a minimum binary distance between columns of the primary pattern matrix
	* New inherited classes for EFA: restrictions.1storder.EFA and FA.EFA
	* New (oblique) analytic transformation criteria from the GPArotation library
		- Thanks to Coen Bernaards, Paul Gilbert, and Robert Jennrich for relicensing GPArotation
		- Can use the reference structure or factor contribution matrix during transformation
		- New convenience function, GPA2FA(), to convert a result from GPFoblq() or GPForth()
	* New S4 generic functions and overhaul of previous S4 generic functions to ease development
		- restrictions2model(), which is new and at the core of most everything
		- restrictions2draws() and FA2draws(), which are new and used to estimate uncertainty
		- restrictions2RAM(), which is new and converts to the RAM format of library(sem)
		- cormat(), which is new and extracts correlation matrices
		- uniquenesses(), which is new and extracts unique variances
		- loadings(), which masks that in the stats library and extracts loadings
		- gr_fitS4(), which is much improved but is now only used for MLE estimation
	* Finally saw the light on S4 and converted all the S3 methods to S4 methods
	* New export functions
		- restrictions2Mathomatic(), which converts model to form used by Mathomatic
		- write.cefa(), which converts preliminary loadings to form used by CEFA
	* New tools for model comparison
		- New functions, model_comparison() and paired_comparison()
		- Incorporate contributions from Anne Boomsma and Walter Herzog
			+ A correction to the test statistic suggested in Swain's dissertation
			+ Improved RMSEA calculation
			+ Steiger's gamma
			+ McDonald's Centrality Index
		- Many ADF-related test statistics suggested by Bentler and his coauthors
	* plot() on an object that inherits from class FA now produces a Directed Acyclic Graph
	* pairs() now depicts the correlation among the reference factors in the lower triangle


FAiR 0.2-0 on 01-31-2008 in honor of the date in the preface of Allen Yates' book
	* Initial release for CRAN
