diff --git a/examples/glm/plot_lasso_lars.py b/examples/glm/plot_lasso_lars.py
index de63bfa7df6e1b664cc4a316b9fa728165412986..ae20871b0d1a3efe7c7b97f608abff977a82a146 100644
--- a/examples/glm/plot_lasso_lars.py
+++ b/examples/glm/plot_lasso_lars.py
@@ -1,8 +1,8 @@
 #!/usr/bin/env python
 """
-======================
-Least Angle Regression
-======================
+=================================
+LASSO with Least Angle Regression
+=================================
 
 """
 
diff --git a/examples/svm/plot_svm_regression.py b/examples/svm/plot_svm_regression.py
index bda3ffc58e1ae0ebf24e56d87eb65d530aa06ea2..2eb5a9993f7000bb07d2269d7397e09e945f57aa 100644
--- a/examples/svm/plot_svm_regression.py
+++ b/examples/svm/plot_svm_regression.py
@@ -1,5 +1,7 @@
-"""Non linear regression with Support Vector Regression (SVR)
-using RBF kernel
+"""
+================================================
+Support Vector Regression (SVR) using RBF kernel
+================================================
 """
 ###############################################################################
 # Generate sample data
diff --git a/scikits/learn/glm/lars.py b/scikits/learn/glm/lars.py
index 488abb98001b5c2ae02f65e8c4aed8ab89500dbd..ffefb2212426e1e5da1fd146a062954fe2548579 100644
--- a/scikits/learn/glm/lars.py
+++ b/scikits/learn/glm/lars.py
@@ -18,7 +18,7 @@ from .._minilearn import lars_fit_wrap
 # optimized by binding (in scipy ?) trsv or trsm
 
 def lars_path(X, y, max_iter=None, alpha_min=0, method="lar", precompute=True):
-    """ Compute Least Angular Regression and LASSO path
+    """ Compute Least Angle Regression and LASSO path
 
         Parameters
         -----------
@@ -202,7 +202,7 @@ def lars_path(X, y, max_iter=None, alpha_min=0, method="lar", precompute=True):
 
 
 class LARS (LinearModel):
-    """ Least Angular Regression model a.k.a. LAR
+    """ Least Angle Regression model a.k.a. LAR
     
     Parameters
     ----------
@@ -236,7 +236,7 @@ class LARS (LinearModel):
     Notes
     -----
     See also scikits.learn.glm.LassoLARS that fits a LASSO model
-    using a variant of Least Angular Regression
+    using a variant of Least Angle Regression
     
     XXX : add ref + wikipedia page
     
@@ -271,7 +271,7 @@ class LARS (LinearModel):
 
 
 class LassoLARS (LinearModel):
-    """ Lasso model fit with Least Angular Regression a.k.a. LARS
+    """ Lasso model fit with Least Angle Regression a.k.a. LARS
     
     It is a Linear Model trained with an L1 prior as regularizer.
     lasso).