Get a list of scalar-on-function linear regression models estimated on functional data each evolving up to an intermediate domain point.
Get a list of scalar-on-function linear regression models estimated on functional data each evolving up to an intermediate domain point.
This function produces a list of objects, each of them contains the result of applying sof_pc to a scalar response variable and multivariate functional covariates evolved up to an intermediate domain point. See Capezza et al. (2020) for additional details on real-time monitoring.
y: A numeric vector containing the observations of the scalar response variable.
mfd_real_time_list: A list created using get_mfd_df_real_time or get_mfd_list_real_time, denoting a list of functional data objects, each evolving up to an intermediate domain point, with observations of the multivariate functional covariates.
single_min_variance_explained: See sof_pc.
tot_variance_explained: See sof_pc.
selection: See sof_pc.
components: See sof_pc.
ncores: If you want parallelization, give the number of cores/threads to be used when creating objects separately for different instants.
Returns
A list of lists each produced by sof_pc, corresponding to a given instant.
Capezza C, Lepore A, Menafoglio A, Palumbo B, Vantini S. (2020) Control charts for monitoring ship operating conditions and CO2 emissions based on scalar-on-function regression. Applied Stochastic Models in Business and Industry, 36(3):477--500. doi:10.1002/asmb.2507