Chemometrics with R : Multivariate Data Analysis in the Natural Sciences and Life Sciences 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. 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.