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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.