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Introduction to multivariate data analysis with exercise (PCA and PLS basic)

Instrumental or computed data holds useful information that could be hardness to extract. Data analysis is an important aspect of scientific research. This course aims at providing the necessary tools for extracting useful information from complex and large data sets, difficult to interpret using traditional statistical univariate analysis techniques. This course deals with the study of two important multivariate data analysis techniques, i.e., Principal Component Analysis, PCA and Partial Least Square Regression, PLS. Finally, some case studies will be presented to show the potentiality of the described techniques and different data set will be analyzed as well.