diff --git a/README.md b/README.md
index e243b8bb9793edb8f97e1ddd67488729d51ef9b4..11be06dd8a873825ca19faa3333a8bbc465da502 100644
--- a/README.md
+++ b/README.md
@@ -7,7 +7,7 @@ The process includes:
 - sample selection - you can upload all your NIRS spectra and it'll help to select the samples to analyse chemically.
 
 
-- model creation - the PINARD (https://github.com/GBeurier/pinard) package creates a prediction model with spectra and related chemical analysis.
+- model creation - PLS regression is used to create prediction models with spectra and related chemical analysis.
 More algorythms had been added like LWPLR from Jchemo (https://github.com/mlesnoff/Jchemo.jl), PLSR with wavelength selection, etc.
 
 
@@ -39,6 +39,8 @@ You can then run (CLI): streamlit run ./app.py from within your src/ folder.
 
 The app will open in your default browser.
 
+_If you encounter an "import pyodbcImportError: libodbc.so.2" error on linux OS, please, install __unixodbc__ with apt install unixodbc from the CLI._
+
 ## Usage
 The web app allows you to process sample selection, model creation and predictions with a simple interface or the advanced one.