摘要：The purpose of this paper is the definition of a new framework and protocol optimization method that is based on a factorial approach. Namely, if it can be demonstrated that the analyzed system has no linear combinations of variables, ie that the system is regular, then the optimization problem in the first step down solve the dimensionality reduction of inequality constraints. This is true regardless of the objective function. In the second step, linking latent dimensions of space constraints was crucified set of nominal or continuous variables. As an example, take the indicators measuring bio-motor variables of boys aged 7 years. First are located extremely capable motor entities, the three of them. Then, the entire space is integrated into the morphological dimension. Results clearly show the strength of the protocol and wrote the entities in an easily recognizable way, defining specific morphological profile.
