SixSigma 0.6.2
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* Bug fixed in ss.lfa function (thanks to Sanjay Shinde for reporting)
* ggplot2 0.9.2 compatibility update
* NEWS file format fixed
* Code tests implemented (ss.lfa)

SixSigma 0.6.1
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* New dataset (ss.data.batteries)
* New and updated references in help files
* Now function ss.lfa (loss function analysis) allows smaller-the-better and
  larger-the-better CTQs, besides nominal-the-best

SixSigma 0.6.0
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* New datasets (ss.data.doe1, ss.data.doe2, ss.data.pb1, ss.data.pb2, 
  ss.data.pb3, ss.data.pb4) for running examples in book "Six Sigma with R".
* Minor modifications for ggplot2 0.9.0 compatibility 

SixSigma 0.5.0
------------- 
* Improvements to ss.ci function: density line, normal qq-plot, warnings when
  normality test fails
* Improvements to capability analysis functions (ss.stuty.ca, ss.cp, ss.cpk), 
  warnings and bug corrections
* New function ss.cc.getc4 to compute constant c4 for the unbiased estimator of the 
  standard deviation.
* New functions ss.cc.getd2 and ss.cc.getd3 to compute mean and variance of
  the relative range distribution (R/sigma)
* New dataframes ss.data.pc, ss.data.pc.big and ss.data.pc.r
* New dataframe ss.data.strings
* Now ss.rr function uses the new functions ss.cc.getd2 and ss.cc.getd3 to
  calculate control limits.
