"Chemometrics with R" offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a complete description of the general data analysis paradigm, from exploratory analysis to modeling to validation. Several more specific topics from the area of chemometrics are included in a special section. The corresponding R code is provided for all the examples in the book; scripts, functions and data are available in a separate, publicly available R package. For researchers working in the life sciences, the book can also serve as an easy-to-use primer on R.

Introduction

Part I Preliminaries: Data
Preprocessing
Part II Exploratory Analysis: Principal Component Analysis
Self-Organizing Maps
Clustering
Part III Modelling: Classification
Multivariate Regression
Part IV Model Inspection: Validation
Variable Selection
Part V Applications: Chemometric
Part VI Appendices: R packages Used in This Book
References
Index.