[R] nproc parameter in efpFunctional

[bonda]

Thank you. I've understood, that it should be k (number of parameters)
separate Brownian bridges. 
Is it possible, to get such separated/disaggregated processes also in
function efp()? (one can take gefp(..., family=gaussian), or construct by
myself residuals(lm.model)*X, but still interesting). And on the contrary,
how can I get an aggregated Brownian bridge path for all parameters
together, similar to efp()$process? It is made in plot.gefp, but only for
graphical visualization...
Thank you in advance!
Julia

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