MLOC_LOC Train the local models of a SOM
CALLS
[mloc] = mloc_loc(y,ny,u,nu,p,mloc)
[mloc] = mloc_loc(y,ny,u,nu,p,mloc,usar_bias,sigma)
INPUTS
y: Output data matrix (Ry x Q)
ny: vector of delays for the AR part in the model
u: Matrix of input data (Ru x Q)
nu: vector of delays in the MA part of the model
p: exogenous variables of the index vector (Rp x Q)
mloc: SOM structure that models the space generated by selector variables
usar_bias: use a bias term in the estimation (default, 1)
sigma: width of local neighborhood around a SOM unit used to build the models
OUTPUTS
mloc: Estructura de SOM con modelos locales
SEE ALSO
MLOC_SOM, MLOC_SIM, MLOC_PLANOS, MLOC_COMPARA