Release Name: 0.14.0

Notes:
A suite for basic and advanced statistics on Ruby. Tested on Ruby 1.8.7, 1.9.1, 1.9.2 (April, 2010) and JRuby 1.4 (Ruby 1.8.7 compatible).

Include:
* Descriptive statistics: frequencies, median, mean, standard error, skew, kurtosis (and many others).
* Imports and exports datasets from and to Excel, CSV and plain text files.
* Correlations: Pearson's r, Spearman's rank correlation (rho), point biserial, tau a, tau b and  gamma.  Tetrachoric and Polychoric correlation provides by +statsample-bivariate-extension+ gem.
* Anova: generic and vector-based One-way ANOVA and Two-way ANOVA
* Tests: F, T, Levene, U-Mannwhitney.
* Regression: Simple, Multiple (OLS), Probit  and Logit
* Factorial Analysis: Extraction (PCA and Principal Axis), Rotation (Varimax, Equimax, Quartimax) and Parallel Analysis and Velicer's MAP test, for estimation of number of factors.
* Reliability analysis for simple scale and a DSL to easily analyze multiple scales using factor analysis and correlations, if you want it.
* Dominance Analysis, with multivariate dependent and bootstrap (Azen & Budescu)
* Sample calculation related formulas
* Structural Equation Modeling (SEM), using R libraries +sem+ and +OpenMx+
* Creates reports on text, html and rtf, using ReportBuilder gem


Changes:
=== 0.14.0 / 2010-08-16
* Added Statsample::Factor::MAP, to execute Velicer's (1976) MAP to determine the number of factors to retain on EFA 
* Bug fix on test suite on Ruby 1.8.7
* Horn's Parallel Analysis operational and tested for pure random data
* Fixed bug on Excel writer on Ruby1.9 (frozen string on header raises an error). 
* Extra information on Factorial Analysis on summaries
* Fixed bug on Factor::Rotation when used ::Matrix without field method. 
* Added Vector#vector_percentil method
* Summaries for PCA, Rotation, MultiScale and ScaleAnalysis created or improved. 
* Factor::PCA could have rotation and parallel analysis on summary.
* Cronbach's alpha from covariance matrix raise an error on size<2 
* MultiScaleAnalysis could have Parallel Analysis on summary.
* Added Chi Square test
* Added new information on README.txt