Statistics::OLS - perform ordinary least squares and other bivariate statistics, v 0.07. I wrote Statistics::OLS to perform Ordinary Least Squares (linear curve fitting) on two dimensional data: y = a + bx. The other simple statistical module I found on CPAN (Statistics::Descriptive) is designed for univariate analysis. It accomodates OLS, but somewhat inflexibly and without rich bivariate statistics. Nevertheless, it might make sense to fold OLS into that module or a supermodule someday. Statistics::OLS computes the estimated slope and intercept of the regression line, their T-statistics, R squared, standard error of the regression and the Durbin-Watson statistic. It can also return the residuals. It is pretty simple to do two dimensional least squares, but much harder to do multiple regression, so Statistics::OLS is unlikely ever to work with multiple independent variables. The Statistics::Descriptive module performs useful univariate statistics and is well tested. The Perl Data Language (see CPAN) may also prove useful for statistics. For a heavy duty, free, and open source statistical analysis language and environment, see the R project at http://www.R-project.org This is beta code, and has not been extensively tested. It has worked on a few published datasets. Feedback is welcome, particularly if you notice an error or try it with known results that are not reproduced correctly. Installation: Untar and unzip the distribution and cd into its directory. Then the usual perl Makefile.PL make make test make install should work. Since this is beta code, you might prefer to install it in a private library. In that case, replace the first command with perl Makefile.pl PREFIX=/home/sally/myperl or whatever. Sanford Morton