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Set object properties

Syntax

Description

set(m,'AttrName1',AttrValue1,'AttrName2',AttrValue2,...) sets the value of the attribute AttrName1, AttrName2, ... associated to the object m.

m_out = set(m,'AttrName1',AttrValue1,'AttrName2',AttrValue2,...) sets the value of the attribute AttrName1, AttrName2, ... associated to the object m and return the modified model inside m_out. The original model is not modified. The following AttrName inherided from the mapping class are recognised:

The following codes specific to the lazy class are recognised: The identification parameter can assume the following forms:
          id_par[3,3]         | idm0  idM0 valM0 |
                              | idm1  idM1 valM1 |
                              | idm2  idM2 valM2 |

where [idmX,idMX] is the range in which the best number of neighbors is searched when identifying the local model of degree X and where valMX is the maximum number of neighbors used in validation for the model of degree X. This means that the model of degree X identified with k neighbors, is validated un the first v neighbors, where v=min(k,valMX).
  
          id_par[3,2]         | idm0  idM0 |
                              | idm1  idM1 |
                              | idm2  idM2 |

where idmX and idMX have the same role they have in point 1, and valMX is by default set to idMX: each model is validated on all the neighbors used in identification.
          id_par[3,1]         | c0 |
                              | c1 |
                              | c2 |

Here idmX and idMX are obtained according to the following fotmulas:
    idmX = 3 * no_parX * cX     idMX = 5 * no_parX * cX

where no_parX is the number of parameter of the model of degree X. Recommended choice: cX = 1. As far as the valMX are concerned, they get the default value as in point 2. The default value for cmb_par is 1 as it will be clear from what follows. If given, cmb_par can assume the following to forms:
          cmb_par[3,1]        | cmb0 |
                              | cmb1 |
                              | cmb2 |

where cmbX is the number of models of degree X that will be included in the local combination. Each local model will be therfore a combination of "the best cmb0 models of degree 0", "the best cmb1 models of degree 1", and "the best cmb2 models of degree 1" identified as specified by id_par.
  
          cmb_par[1,1]        | cmb |

where cmb is the number of models that will be combined, disregarding any constraint on the degree of the models that will be considered. Each local model will be therfore a combination of "the best cmb models", identified as specified by id_par.



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