A set of 20 functional variables for regression. Only the 8 first variables are predictive.

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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

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