write error for global fits

src/nmreval/fit/minimizer.py

@@ -439,7 +439,7 @@ class FitRoutine(object):
 
         # update parameter values
         for keys, p_value, err_value in zip(var_pars, p, err):
-            if keys in data.parameter:
+            if keys in data.parameter.keys():
                 data.parameter[keys].scaled_value = p_value
                 data.parameter[keys].scaled_error = err_value
                 data.parameter[keys].namespace[keys] = data.parameter[keys].value

src/nmreval/fit/result.py

@@ -223,7 +223,6 @@ class FitResult(Points):
         return self.nobs-self.nvar
 
     def pprint(self, statistics=True, correlations=True):
-        sstream = StringIO()
         print('Fit result:')
         print('  model :', self.name)
         print('  #data :', self.nobs)