diff --git a/README.md b/README.md
index 63a38851ea4386d80b06f006a34572163a66c985..e243b8bb9793edb8f97e1ddd67488729d51ef9b4 100644
--- a/README.md
+++ b/README.md
@@ -20,13 +20,17 @@ The SQL script to create the database is in this same folder.
 This package is written in python. You can clone the repository: git clone https://src.koda.cnrs.fr/CEFE/PACE/nirs_workflow.git
 
 Then install the requirements: pip install -r requirements.txt  
-(OPTIONNAL) To use Locally weighted PLS Regression for creation model, you will need to install Jchemo.jl (https://github.com/mlesnoff/Jchemo.jl), a Julia package.  
-From the CLI: python
+(OPTIONNAL) To use Locally weighted PLS Regression as the creation model algorithm, you will need to install Jchemo.jl (https://github.com/mlesnoff/Jchemo.jl), a Julia package.  
+First, install Julia (https://julialang.org/). _Tested versions are 1.10.2 and 1.10.4 (https://julialang.org/downloads/oldreleases/)_.  
+Then from the CLI: python
 > python   
 '>>> import julia  
 '>>> julia.install()  
 '>>> from julia import Pkg  
-'>>> Pkg.add(["Jchemo","DataFrames","Pandas"])
+'>>> Pkg.add([Pkg.PackageSpec(name="Jchemo", version="0.4.0"), Pkg.PackageSpec(name="Pandas", version="1.6.1"), Pkg.PackageSpec(name="DataFrames", version="1.6.1"), ])
+ 
+_The Manifest.toml file is also available. Instead of the Pkg.add() previous line, you can duplicate our full Julia environment with:_  
+> '>>> Pkg.instantiate()
 
 To check if Jchemo is installed without errors:
 > '>>> Pkg.status()