We explore large-scale functional linear regression in which the scalar response is associated with a potentially ultrahigh number of functional predictors, leading to a more challenging model ...

Simulations show that these modified procedures maintain nominal levels better than the original Fay and the Rao-Scott procedures for testing a vector of means and a vector of regression coefficients.