Known as a scientific domain in which the scientist would try to extract information from chemical systems by data-driven means, Chemometrics is a fast spreading field, being applied to solve both descriptive and predictive problems in experimental life sciences, especially in chemistry. It is defined as a highly interfacial discipline, which employs multivariate statistics, applied mathematics, and computer science via using methods frequently employed in core data-analytic, in order to address problems in chemistry, biochemistry, medicine, biology and chemical engineering. Initiated by analysts, now the discipline is widened by other chemistry discipline researches and even those from medical and biological areas. Chemometric techniques are particularly heavily used in analytical chemistry and metabolomics, and the theoretical development of chemometric methods of analysis also continues to advance the state of the art in analytical instrumentation and methodology improvements. It is an application driven discipline, and thus while the standard chemometric methodologies are very widely used industrially, academic groups are dedicated to the continued development of chemometric theory, method and application development.