PLS update for metrics

Class_Mod/PLSR_.py

@@ -50,9 +50,12 @@ class PinardPlsr:
     
     @property
     def metrics_(self):
-        metc = metrics(train=(self.y_train, self.yc))
-        metcv = metrics(train=(self.y_train, self.ycv))
-        mett = metrics( train=(self.y_test, self.yt))
+        metc = metrics(self.y_train, self.yc)
+        metc = metc.evaluate_
+        metcv = metrics(self.y_train, self.ycv)
+        metcv = metcv.evaluate_
+        mett = metrics( self.y_test, self.yt)
+        mett = mett.evaluate_
         met = pd.concat([metc, metcv, mett], axis = 0)
         met.index = ['calib','cv','test']
         return met