Computes regressors coefficients using the Gram-Schmidt procedure.
GSproc(polyK, ivec, weight = NULL)One list including $Y and $phy with: $Y a matrix for which the ith column will be used to add one orthogonal vector to the (i-1)th vectors of the current orthogonal base; and $phy such as the current orthogonal base is given by the (i-1)th first columns of matrix polyK$phy.
Defines i, the current vector of polyK$Y and the current orthogonal base of pParam$phy.
The weighing vector.
uNew The model parameterization, that is:
The residual orthogonal vector that can be included into
the current orthogonal base. If the current base is empty,
uNew is equal to the input vector of $Y; if the base is
complete, uNew equals 0.