3.1 The check in the version 3.0 fix could have the wrong vector lengths. with nested=TRUE, the code could fail to allocate enough memory for Fortran. 3.0 There was a bug (design infelicity?) where forward and backward selection could return a better model than they should, based on the first k variables in the data matrix. - Added warning when model with first k variables is better than the 'best' k-variable model. - For nbest=1, default to not looking at the model with first k variables. 2.9 improved documentation for summary.regsubsets added coef(), vcov() methods for regsubsets. 2.8 Added regsubsets() method for biglm objects.