function [mSigEtaEig, mSigEta]=MVCM_eigen(efitEtas)
% MVCM_eigen is to implement Zhu's (2010) method of functional principal component analysis in MVCM
%
% Input:
%     efitEtas    - a n x L0 x m matrix of estimated eta
% Output:
%     mSigEta     - a L0 x L0 x m matrix of covariance matrix of etas for each individual measures
%     mSigEtaEig  - a L0 x L0+1 x m matrix of eigenvaules and eigenvectors of individaul covariance matrix of etas. 
%                   The first column is eigenvalues and the rest are the respective eigenvectors.
% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% 
% Please run  
%     [ResEtas,efitEtas,eSigEta] = MVCM_sif(arclength,ResYdesign,kstr) or [ResEtas,efitEtas,eSigEta] = MVCM_sif2(arclength,ResYdesign,kstr)
% before you use MVCM_eigen
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% September 3, 2010 @ AA
%     



    L0=size()
    mSigEta=zeros(L0,L0,m);
    mSigEtaEig=zeros(L0,L0+1,m);
    
    for mii=1:m
        mSigEta(:,:,mii)=efitEtas(:,:,mii)'*efitEtas(:,:,mii);
        [v d]=eig(mSigEta(:,:,mii));
        dd=diag(d);
        [dd,ind]=sort(dd,'descend');
        v=v(:,ind);
        dd=dd/sum(dd);
        vd=[dd v'];
        mSigEtaEig(:,:,mii)=vd;
    end

end