Also, the more widely the distances are separated, the more reliable the results will be. Data spanning months may be inconsistent if fitness is changing rapidly. This file contains a list of the distances that you want rp to predict performance at. Distance units must match those given in dunit.rsc, although non-ambiguous abbreviations are allowed. This file contains the data on which rp will base its model.
Output is in tabular form.
The program will print out a list of 'equivalent' runs, i.e., runs at the same level of effort in some sense. This might be useful in planning for those long 20 mile training runs in preparation for a marathon.