Nonlinear Principal Components for a random variable are introduced
as solutions of a variance maximization problem. Existence results
and different properties are investigated; in particular, a characterization
theorem is proved. Several examples complete the analysis. An estimation
procedure based on splines is introduced and its properties are illustrated
through simulations. Lastly, applications to goodness-of-fit test, dependence
analysis and construction of bivariate distributions are discussed.