A set of 20 functional variables for regression. Only the 8 first variables are predictive.
A list of two components:
FDlist: a list containing the p functional variables, i.e. p matrices of size n \times N with n the number of N-dimensional curves ;
Y: the outcome drawn from the Gaussian distribution.
Gregorutti, B., Michel, B. and Saint Pierre, P. (2014). Grouped variable importance with random forests and application to multivariate functional data analysis. arXiv:1411.4170