From 442696ef1a7516442057bd9e57eab06787afab70 Mon Sep 17 00:00:00 2001
From: Delaigue Olivier <olivier.delaigue@irstea.fr>
Date: Sun, 5 Apr 2020 18:31:26 +0200
Subject: [PATCH] v1.4.3.75 DOC: minor text revisions of the sentence about the
 composite criterion in the get_started vignette #35

---
 DESCRIPTION                   | 2 +-
 NEWS.md                       | 2 +-
 vignettes/V01_get_started.Rmd | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 850300ab..0db5ddfa 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: airGR
 Type: Package
 Title: Suite of GR Hydrological Models for Precipitation-Runoff Modelling
-Version: 1.4.3.74
+Version: 1.4.3.75
 Date: 2020-04-05
 Authors@R: c(
   person("Laurent", "Coron", role = c("aut", "trl"), comment = c(ORCID = "0000-0002-1503-6204")),
diff --git a/NEWS.md b/NEWS.md
index 1d995238..ee8c7593 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -4,7 +4,7 @@
 
 
 
-### 1.4.3.74 Release Notes (2020-04-05)
+### 1.4.3.75 Release Notes (2020-04-05)
 
 #### CRAN-compatibility updates
 - The 'hydroPSO' package is back on CRAN and it is again suggested (cf. the 'param_optim' vignette).
diff --git a/vignettes/V01_get_started.Rmd b/vignettes/V01_get_started.Rmd
index c901b6ae..8c06db11 100644
--- a/vignettes/V01_get_started.Rmd
+++ b/vignettes/V01_get_started.Rmd
@@ -150,7 +150,7 @@ The `CreateInputsCrit()` function allows to prepare the input in order to calcul
 
 Missing values (`NA`) are **allowed** for observed discharge.
 
-It is possible to compute a composite criterion (e.g. the average between NSE computed on discharge and NSE computed on log of discharge).  In this case, the user must provide a list of the arguments described above and define another argument named `Weights`. 
+It is possible to compute a composite criterion (e.g. the average between NSE computed on discharge and NSE computed on log of discharge). In this case, the user must provide a list of the arguments described above and define another argument named `Weights`. 
 
 ```{r}
 InputsCrit <- CreateInputsCrit(FUN_CRIT = ErrorCrit_NSE, InputsModel = InputsModel, 
-- 
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