ADVANCED CHEMOMETRICS WITHOUT EQUATIONS

Price:	Conferee $1000; Student $550; Nonconferee $1500
Date:	Saturday, September 28 and Sunday, September 29, 9:00 am 4:30 pm
Instructors:	Barry Wise, Eigenvector Research

Advanced Chemometrics without Equations (ACWE) takes up where our popular Chemometrics without Equations course leaves off.  It is assumed that participants will have a working knowledge of Principal Components Analysis (PCA) and regression with Partial Least Squares (PLS).  ACWE concentrates on improving chemometric models via 1) advanced preprocessing methods, 2) variable selection and 3) non-linear methods.  The critical difference between inadequate and successful chemometric models is often data preprocessing, i. e. what is done to the data before using PCA, PLS etc. The goal of preprocessing is to remove variation not related to the problem of interest so that the variation of interest is more evident and can be more easily modeled.  The variables selected, e. g. spectral regions, can also greatly affect the success of the application. In some instances, the relationship between predictor and predicted variables is non-linear and modeling can be improved through the use of methods that account for this.  ACWE focuses on advanced preprocessing methods, including Extended Multiplicative Scatter Correction (EMSC) and Generalized Least Squares (GLS), for improving models. Variable selection techniques, such as inteval PLS (iPLS) are also considered. Locally Weighted Regression (LWR) and Support Vector Machines (SVM) are demonstrated. The effect of preprocessing, variable selection and non-linear methods on robustness of the final models is also considered.  Students will work problems using MATLAB and PLS_Toolbox on computers provided (maximum of two students per computer).  More information can be found at http://www.eigenvector.com/courses/ACWE.html