set.seed(1)

data<-simulate_data_FRTM(n_obs=100)
X<-sapply(1:100,function(ii) data$x_true[[ii]])
x_fd<-smooth.basis(y = X,argvals =  data$grid,create.bspline.basis(c(0,1),30))$fd

H<-sapply(1:100,function(ii) data$h[[ii]])
h_fd<-smooth.basis(y = H,argvals =  data$grid,create.bspline.basis(c(0,1),30))$fd




mod_mFPCA<-mFPCA(x_fd,h_fd,ncom="ptv",par_ncom=0.95)
plot(mod_mFPCA)