string, use quadratic programming (quad) or
Lasso-like solvers (lasso)
Details
In hierarchical time series forecasts, one predicts individuals
quantities and a global quantity. There exists a contraint that
matches the sum of the individual quantities to the global quantity.
However, forecasting models don't take into account this constraint.
With GTOP you can reconciliate the individual and global quantities
in order to match the aggregate consistency contraint.
Value
A list with
pred_indivs the reconciliated predictions for the
individuals and the total,
solution the solution to the associate minimisation
problem.