Discover the basics of Chemometrics methods
In-house sessions
Unscrambler®, PLS_Toolbox®, SOLO®, SIMCA®, MATLAB® environment
2 days
Researchers, scientists and engineers
Objectives
This training session on multivariate data analysis is intended for people wishing to:
- Learn the basic methods of data analysis
- Become autonomous in data processing
- Assimilate the key steps of data analysis methodology
During the training, the method principles are introduced by a geometric approach. Emphasis is placed on the practical use of the methods and the interpretation of the results.
Application exercises are proposed for each method. Training can be held on various chemometrics software: Unscrambler® (Camo Analytics), SIMCA® (Umetrics Sartorius), PLS_Toolbox® (Eigenvector Research Inc.) or software under Matlab® environment (MathWorks).
Need a specific training?
Our team study your request to offer you the most suitable and personalized training.
Program
Day 1: Exploratory analysis
- Introduction – Chemometrics
- Principal Component Analysis (PCA)
- Theoretical principle
- Interpretation
- Detection of outliers
- Application on data set and software
Day 2: Quantitative predictive modeling
- Linear multivariate regression models (MLR, PCR, PLS)
- Theoretical principle of multivariate regressions (MLR, PCR, PLS…)
- Model validation methods
- Detection of outliers
- Optimization
- Application on data set and software
Our trainer team
They talk about us
« Ondalys, training sessions tailored to our needs »
Our expertise for the analysis of your data
With over 15 years of experience in data analysis applied to spectroscopic, analytical and sensory data, the experts in our teams support you at every stage of your projects.
