Services | Design of Experiments & Multivariate Analysis

Chemometric Schools

We organize specialized training programs taught by internationally recognized experts Prof. Riccardo Leardi and Dr. Emanuele Farinini, PhD. Our unique integrated methodology combines experimental design with multivariate analysis, providing comprehensive understanding through real industrial case studies.

🌱 Basic Course: DoE & MVA

Learn rational experimental planning and multivariate analysis from the basic statistics - overcome OVAT limitations through Quality by Design principles.

🚀 Advanced Course

Master modeling techniques for classification, regression, and complex experimental optimization.

Sequential Learning Path: Our courses are designed as a progressive journey. The Basic Course provides the essential foundation, while the Advanced Course builds upon these concepts to master sophisticated techniques. We recommend completing the Basic Course before attending the Advanced Course for optimal learning outcomes.

What Makes Our Schools Unique: Customized programs combining theory with hands-on CAT software training, small groups, and real industrial case studies from pharmaceutical, food, chemical, and environmental industries.

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LEVEL 1 - FOUNDATION

Basic Chemometrics Course

DoE & Multivariate Analysis

Introduction to rational experimental planning and multivariate analysis. Learn to overcome OVAT limitations through Quality by Design principles. No prerequisites required (let's start from the basic statistics).

4 days Training

Live or Virtual

CAT Software Included

Italian, English, French, Spanish

Core Topics

From Univariate to Multivariate: Basic statistics and moving beyond the traditional approach OVAT to embrace the relationships between multiple variables simultaneously, both in terms of experimental planning and in the analysis of analytical results.
PCA: Data exploration and dimensionality reduction, exploring every single advantage: gain insights into the results and interpretation of each case, including analytical profiles instead of commonly used "descriptors" (e.g., calorimetry, rheometry, time-trend analysis, stress tests, etc.)
Process Monitoring and Quality Control: T² Hotelling and Q residuals to prevent false positives and false negatives
Full Factorial Design: The foundation of the Design of Experiments approach
Fractional Factorial and Plackett-Burman Design: Efficient screening methods
Central Composite Design: Study nonlinear relationships between variables and the response
Multicriteria Decision Making: Identify the best compromise between contrasting responses for defining the acceptability regions

LEVEL 2 - ADVANCED

Advanced Chemometrics Course

Advanced DoE & MVA

Advanced methods for complex data analysis, featuring sophisticated modeling techniques for classification, regression, and experimental optimization. Requires completion of Basic Course.

4 days Training

Live or Virtual

CAT Software Included

Italian, English, French, Spanish

Advanced Topics

Classification: KNN, LDA, QDA for supervised learning
PLS Regression: Predictive modeling from datasets characterized by multicollinearity (e.g., NIR spectroscopy)
Variable Selection: Genetic algorithms optimization
Data Fusion: Multi-source integration techniques through different strategies
Doehlert Design: An efficient Experimental Design for estimating quadratic effect
D-optimal Design: Powerful building strategies for custom models
Qualitative variables at more than two levels: Matrix construction with categorical variables
Principal Properties: Extraction of Characteristic Properties for Experimental Design
Mixture and Mixture-Process Design: Strategies for Constrained Factors and Scheffé Models

Prerequisite: Completion of Basic Chemometrics Course or equivalent experience

Expert Consulting Services

We provide specialized consulting services to optimize your processes, improve product quality, and solve complex analytical challenges. Our team combines statistical expertise with practical industrial experience to deliver interpretable solutions.

Our Collaborative Approach: We work closely with your team to understand your specific challenges, develop tailored solutions using proven chemometric methods, and provide ongoing support to ensure successful implementation and knowledge transfer.

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Collaborations

We collaborate with R&D, Process, Quality Control and Assurance companies (including Human Resources and Marketing), and research centers requiring advanced statistical expertise for complex projects spanning various sectors. Our approach leverages cutting-edge chemometric methods to drive innovation, optimize formulations, and implement the principles of Quality by Design.

Our Collaboration Services:

Statistical Product Development: Optimization of new products and formulations using customized experimental design and multivariate analysis techniques
Quality by Design (QbD) Implementation: Complete implementation of QbD principles and statistical process understanding
Analytical Method Development: Design and validation of robust analytical methods using multivariate calibration and chemometric validation approaches
Process Understanding: Mechanistic modeling and comprehensive process characterization through advanced statistical techniques
Technology Transfer Support: Scale-up optimization with statistical process control and multivariate monitoring implementation
Regulatory Documentation: Supporting regulatory submissions including validation protocols and statistical evidence
Formulation Optimization: Multi-component system optimization using Experimental Design together with Multivariate Analysis
Process Troubleshooting: Root cause analysis using PCA diagnostic tools
Training & Knowledge Transfer: Customized training programs to empower your team with statistical skills and knowledge
Customized application: HTML or Streamlit web platform leveraging the chemometric approach

Our Services