create a function to perform multiple linear model on several columns of a dataframe
extended the documentation and added the option to use a different model from the ols
corrected a stupid bug from renaming
corrected the evaluation of the parameter standard deviation
improvement of performance by reusing the same design matrix across several tests
added the pvalue correction for multiple tests
added a function for group of variables comparision
added the possibility to switch from the fisher exact test to the chi squared test for the multigroup test as fisher can be slow on big numbers
implemented the subset keyword in the multiOLS function
the multigroup function also return info on the subdivision of significant and non significant variables in each group
added the docstring for the module
removed the alpha parameter from the _test_group function
removed alpha completely from the parameter list, corrected a bug on the evaluation of the increment for small numbers and renamed the ripartition columns
improved the test function
reinserted alpha as a parameter for the p-value correction
extended the help of multiOLS with a better explanation of the returned dataframe
inverted two parameters of the API, moving the model type to the last position
moved the import of the scipy stats function to inside the function _test_group to avoid import issue with older version of scipy
added a missing term to the help of the multiOLS
bug fix that did not check for duplicated index in the series and dicotomy in the values