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Self Running Tutorial   Multivariate Data Analysis I   Multivariate Data Analysis II

Explore the self running tutorial with sample model files from The Unscrambler® - 30 day FREE trial version

  • The world is multivariate - Introduction to multivariate data modeling
  • When are multivariate methods useful?
  • Principles and applications of PCA, MLR, PCR...
  • Data preprocessing
  • PCA
  • Multivariate regression
  • Prediction
  • Classification (SIMCA and PLS-DA)
  • Multivariate Curve Resolution (MCR)
The Introducer   Experimental Design (DoE)   Multivariate Analysis Of
Spectroscopic Data
Multivariate Data Analysis in Practice 5th Ed. by Prof. Kim Esbensen


  • Practical applications of multivariate techniques such as PCA, PCR, and PLS
  • Non-mathematical approach - ideal for analysts with little or no background in statistics
  • Step by step introduction of new concepts and techniques that promotes ease of learning
  • Theory supported by practical hands-on exercises based on real-world data

  • Introduction to experimental design
  • Questions experimental design can answer
  • Classical experimental strategies / Why is experimental design useful?
  Introduction to Chemometrics   Multivariate Analysis of Sensory Data
  • Introduction: The world is multivariate
  • Principal Component Analysis (PCA) – theory and applications
  • Partial Least Squares Regression (PLS-R) – ...
  • Univariate statistics
  • Experimental setup
  • Evaluation of panel data
  • Principal Component Analysis (PCA)
  • Varimax rotation
  • Preference mapping
    Process modelling and optimisation
  • Design of experiments
    • Efficient data collection
    • Screening designs
    • Optimization designs
    • Evolutionary Operation (EVOP) design