diff --git a/pes_to_spec/__init__.py b/pes_to_spec/__init__.py
index ddad2decb20a6f097087c702ebae49682c9a019d..fb5f5ab974826aa2235de9d816c3a3dff54b0173 100644
--- a/pes_to_spec/__init__.py
+++ b/pes_to_spec/__init__.py
@@ -2,4 +2,4 @@
 Estimate high-resolution photon spectrometer data from low-resolution non-invasive measurements.
 """
 
-VERSION = "0.1.3"
+VERSION = "0.1.4"
diff --git a/pes_to_spec/model.py b/pes_to_spec/model.py
index 396138f985e80cbd462d252fc8fae49b94bc411c..2276bacf4d57217a94bf07258633a04fecbd6fb2 100644
--- a/pes_to_spec/model.py
+++ b/pes_to_spec/model.py
@@ -991,8 +991,6 @@ class Model(TransformerMixin, BaseEstimator):
         low_res_pre = self.x_select.transform(low_res_data)
         low_pca = self.x_model.transform(low_res_pre)
         high_pca, high_pca_unc = self.fit_model.predict(low_pca, return_std=True)
-        intensity = np.sum(high_pca, axis=1, keepdims=True)
-        Z_intensity = (intensity - self.mu_intensity)/self.sigma_intensity
         #high_pca = self.fit_model.predict(low_pca)
         #high_pca_unc = 0
         n_trains = high_pca.shape[0]
@@ -1021,7 +1019,6 @@ class Model(TransformerMixin, BaseEstimator):
                     pca=pca_unc,
                     total_unc=total_unc,
                     deconvolved=deconvolved,
-                    Z_intensity=Z_intensity
                     )
 
     def save(self, filename: str):