You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: GLM_covComp.m
    path of file: ./repos/VBA-toolbox/modules/GLM
    
    the code of the file until where you have to start completion: function [theta,e,hy,hp] = GLM_covComp(y,X,Qy,Qp,my,mp)
% wraps GLM with multiple covariance components estimation into VBA
% function [theta,e] = GLM_covComp(y,X,Qy,Qp,my,mp)
% IN:
%   - y: px1 data vector
%   - X: pxn_phi GLM design matrix
%   - Qy: nqyx1 cell array of data covariance components
%   - Qp: nqpx1 cell array of GLM coef covariance components
%   - my: prior mean on data precision hyperparameters in log-space
%   - mp: prior mean on GLM coef precision hyperparameters in log-space
% OUT:
%   - theta: n_phix1 vector of estimated GLM coef
%   - e: px1 vector of estimated residuals

nqy = length(Qy);
nqp = length(Qp);

[ny,np] = size(X);

dim.p = size(y,1);
dim.n_phi = (np+1)*nqp + (ny+1)*nqy;
dim.n_theta = 0;
dim.n = 0;

    
function [theta,e,hy,hp] = GLM_covComp(y,X,Qy,Qp,my,mp)
% wraps GLM with multiple covariance components estimation into VBA
% function [theta,e] = GLM_covComp(y,X,Qy,Qp,my,mp)
% IN:
%   - y: px1 data vector
%   - X: pxn_phi GLM design matrix
%   - Qy: nqyx1 cell array of data covariance components
%   - Qp: nqpx1 cell array of GLM coef covariance components
%   - my: prior mean on data precision hyperparameters in log-space
%   - mp: prior mean on GLM coef precision hyperparameters in log-space
% OUT:
%   - theta: n_phix1 vector of estimated GLM coef
%   - e: px1 vector of estimated residuals

nqy = length(Qy);
nqp = length(Qp);

[ny,np] = size(X);

dim.p = size(y,1);
dim.n_phi = (np+1)*nqp + (ny+1)*nqy;
dim.n_theta = 0;
dim.n = 0;
dim.n_t = 1;

priors.muPhi = zeros(dim.n_phi,1);
priors.SigmaPhi = zeros(dim.n_phi,dim.n_phi);

ind = cell(4,1);
last = 0;
for i=1:nqy
    ind{1}(i) = last+1;
    ind2i = ind{1}(i)+1:ind{1}(i)+ny;
    ind{2} = [ind{2};ind2i];
    last = ind2i(end