Computes regressors coefficients using the Gram-Schmidt procedure.
GSproc(polyK, ivec, weight = NULL)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.
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.
Sylvain Mangiarotti