def _evaluate_all_functions(self, xdata, p=None):
if p is None: p = self.results[<NUM_LIT:0>]<EOL>output = []<EOL>for n in range(len(self.f)):<EOL><INDENT>output.append(self._evaluate_f(n, self._xdata_massaged[n], p) )<EOL><DEDENT>return output<EOL>
This returns a list of function outputs given the stored data sets.
This function relies on a previous call of set_data().

p=None means use the fit results