diff --git a/DESCRIPTION b/DESCRIPTION
index d3c23ad46650fece144337f729ce1e3b8c8359d0..b687ac8ce48444d056bd11f5a5d19bdc0e9fa033 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.2.12.31
+Version: 1.2.12.32
 Date: 2019-04-01
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
diff --git a/NEWS.rmd b/NEWS.rmd
index 33511fbd9ad3e30d4575c127efc8900e3ba7d2d4..a7ff6ce402d05857378ec41b38a8748869a7ff47 100644
--- a/NEWS.rmd
+++ b/NEWS.rmd
@@ -13,7 +13,7 @@ output:
 
 
 
-### 1.2.12.31 Release Notes (2019-04-01) 
+### 1.2.12.32 Release Notes (2019-04-01) 
 
 
 
diff --git a/man/ErrorCrit.Rd b/man/ErrorCrit.Rd
index c399eb9a90112669dddb2afea300a741bf8d8590..ec57c0e07d92cd9e1ada09120a12c5cea3905050 100644
--- a/man/ErrorCrit.Rd
+++ b/man/ErrorCrit.Rd
@@ -84,7 +84,7 @@ InputsCritSingle <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE,
                                      InputsModel = InputsModel, RunOptions = RunOptions,
                                      Obs = list(BasinObs$Qmm[Ind_Run]),
                                      VarObs = "Q", transfo = "",
-                                     weight = NULL) 
+                                     Weights = NULL) 
 str(ErrorCrit(InputsCrit = InputsCritSingle, OutputsModel = OutputsModel))
 
 ## 2 efficiency critera:  RMSE and the Nash-Sutcliffe Efficiency
@@ -92,7 +92,7 @@ InputsCritMulti <- CreateInputsCrit(FUN_CRIT = list(ErrorCrit_RMSE, ErrorCrit_NS
                                     InputsModel = InputsModel, RunOptions = RunOptions,
                                     Obs = list(BasinObs$Qmm[Ind_Run], BasinObs$Qmm[Ind_Run]),
                                     VarObs = list("Q", "Q"), transfo = list("", "sqrt"),
-                                    weight = NULL) 
+                                    Weights = NULL) 
 str(ErrorCrit(InputsCrit = InputsCritMulti, OutputsModel = OutputsModel))
 
 ## efficiency composite criterion: Nash-Sutcliffe Efficiency mixing
@@ -101,7 +101,7 @@ InputsCritCompo <- CreateInputsCrit(FUN_CRIT = list(ErrorCrit_NSE, ErrorCrit_NSE
                                     InputsModel = InputsModel, RunOptions = RunOptions,
                                     Obs = list(BasinObs$Qmm[Ind_Run], BasinObs$Qmm[Ind_Run]),
                                     VarObs = list("Q", "Q"), transfo = list("", "log"),
-                                    weight = list(0.4, 0.6)) 
+                                    Weights = list(0.4, 0.6)) 
 str(ErrorCrit(InputsCrit = InputsCritCompo, OutputsModel = OutputsModel))
 }