Multivariate Data Analysis - II

This course is addressed to the scientists who are familiar with the principles and use of multivariate methods and wish for further training. A stress is put on diagnostics and model improvement. The course program includes theory and exercises on:

• Data preprocessing
• Principal Component Analysis (PCA)
• Multivariate regression: Multilinear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
• Prediction
• Classification (SIMCA and PLS-DA)
• Multivariate Curve Resolution (MCR)
• 3-way PLS Regression
• On-line analysis with Unscrambler models
  • Unscrambler On-line
  • Unscrambler Predictor (OLUP)
  • Unscrambler Classifier (OLUC)

Who should participate in this program?

The course has been designed for a seasoned audience comprising:

• Spectroscopists
• Chemometricians
• Scientists & Engineers
• Analytical experienced modelers

No prior knowledge of The Unscrambler is required to attend our courses.

Prerequisites

Discounts: 10% to members of the Annual Support and Upgrade Program

• The number of seats for the course is limited to 12
• Deadline for registrations: 3 weeks before the course-start
• Participants are required to bring their own Laptop.