
0.02    * Initial posting of package onto CRAN
	* Fixes the aldmck() polarity issues from previous iteration
	* Includes full vignette

0.03	* Includes updated vignette with AM Monte Carlo, many fixes, in preparation for JSS submission
	* Now notes that aldmck() in one dimension yields no weights, R^2
	* Includes Sebastian Saiegh's PELA 2004 data
	* Some extra error messages now in place
	* aldmck() output cast as data frames
	* summary.aldmck(), and the two weight plotting functions no longer assume self-placements
	* Allows no missing values for all functions

0.05	* Changed to comply with new Command Check. 2.14.1
	* .onLoad() changed to conform using packageStartupMessage()
	* _R_BUILD_COMPACT_VIGNETTES_ environment set to compress using QPDF
	* WRITE statements in code all taken out to remove warnings
	* plot/summary function documentation coded using \method markup
	* Some are not true S3 methods, but coded that way to allow for backwards compatibility
	* Added LC1980_bbt to speed up command checks

0.06	* In the index, the description: "Conducts Aldrich-McKelvey and Blackbox Scaling (SVD generalization with missing values)" has been changed to "Conducts Aldrich-McKelvey and Blackbox Scaling to Recover Latent Dimensions of Judgment" to avoid prior confusion.
	* Added lines in blackbox(): 	dumpthese <- (rowSums(individuals[[i]]==0)==i)
					individuals[[i]][dumpthese,] <- NA
	* Changed:    result <- list(stimuli = stimuli, respondents = as.data.frame(respondents),
              eigenvalues = as.numeric(res$eigenvalues),
              AMfit = as.numeric(res$fits[1]), R2 = as.numeric(res$fits[2]),
              N = nrow(data)-deleted, N.neg = as.integer(res$fits[5]),
              N.pos = as.integer(res$fits[4]))
	to: result <- list(stimuli = stimuli, respondents = as.data.frame(respondents),
              eigenvalues = as.numeric(res$eigenvalues),
              AMfit = as.numeric(res$fits[1]), R2 = as.numeric(res$fits[2]),
              N =as.integer(res$fits[4])+as.integer(res$fits[5]), N.neg = as.integer(res$fits[5]),
              N.pos = as.integer(res$fits[4]))
	* Vignetted updated to drop all references to missing values

0.07	* Commented out the use of .First.lib and .Last.lib to conform to R 3.0.0 per Brian Ripley's suggestion
	* Header.R renamed as zzz.R following CRAN standard