Part I: This vignette describes the usage of fda.usc in R. fda.usc package carries out exploratory and descriptive analysis of functional data exploring its most important features such as: Functional Data Representation Functional Regression

Variable Selection in Functional Regression

Part III: Discrimination, Clustering and Anova Introduction Functional Supervised Classification: Discrimination Functional Non-Supervised Classification: Clustering Functional Analysis of variance: FANOVA

Part II: REGRESSION 1 Functional Linear Model (FLM) 2 Functional Non-Linear Model 3 Functional Generalized Linear Model 4 Functional Generalized Additive Model

Tutorial XIII Congreso Galego de Estatística e Investigación de Operacións