We have used two functional linear models (FLM) included in  to compare the effect of the temporal dependence. Specifically, we have generated nB = 1000 replicas of size n = 100 from the FLM model y=〈X,β〉+ϵ, being X a Wiener process observed in a grid of length M = 100 in the interval [0, 1] and ϵ an AR(1) process with autoregressive parameter ϕ and variance Var(ϵ)=snrVar(〈X,β〉), where snr is the signal to noise ratio. For each sample, ten future values, denoted by (yn+h, h = 1, …, 10), were generated to check the predictive ability of the proposal.