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: test_pca_sh_old.m
    path of file: ./repos/HRTF-Individualization/model/matlabcode/functions/depricated/test
    
    the code of the file until where you have to start completion: function e = test_pca_sh_old(db,parameters)

parameters.structure = 2;
parameters.db = db;
parameters.mode = 1; % Hrir oder DTF
parameters.ear_mode = 1;
parameters.ears = ':';
parameters.mean_mode = 2;
parameters.freq_mode = 2;

% Load HRIRs
[hrirs,subject_ids,a,angles,b,hrir_db_length,c,d,e,f,fs,exp_sub] = db_import(db);

parameters.fs = fs;
parameters.subjects = 1:size(hrirs,1);
parameters.angles = angles;

pc_order = size(hrirs,4);

% Obtain Input Matrix
[org_spc,pca_mean] = algo_input(hrirs,parameters.mode,parameters.structure,parameters.mean_mode,parameters.freq_mode,parameters.ear_mode,[],[],parameters.fs);

% PCA
[pcs,pc_weights,latent] = princomp(org_spc,'econ'); % both ears

% Reshape input matrix and weights to map original format
org_spc = algo_inv_reshape(org_spc,size(pca_mean),parameters) + pca_mean ;

pc_weights = algo_inv_reshape(pc_weights,size(pca_mean),parameters);
pc_weights = squeeze(reshape(permute(pc_weights, [1 2 4 3]),size(pc_weights,1),size(pc_weights,2),size(pc_weights,3)*size(pc_weights,4)));

    
function e = test_pca_sh_old(db,parameters)

parameters.structure = 2;
parameters.db = db;
parameters.mode = 1; % Hrir oder DTF
parameters.ear_mode = 1;
parameters.ears = ':';
parameters.mean_mode = 2;
parameters.freq_mode = 2;

% Load HRIRs
[hrirs,subject_ids,a,angles,b,hrir_db_length,c,d,e,f,fs,exp_sub] = db_import(db);

parameters.fs = fs;
parameters.subjects = 1:size(hrirs,1);
parameters.angles = angles;

pc_order = size(hrirs,4);

% Obtain Input Matrix
[org_spc,pca_mean] = algo_input(hrirs,parameters.mode,parameters.structure,parameters.mean_mode,parameters.freq_mode,parameters.ear_mode,[],[],parameters.fs);

% PCA
[pcs,pc_weights,latent] = princomp(org_spc,'econ'); % both ears

% Reshape input matrix and weights to map original format
org_spc = algo_inv_reshape(org_spc,size(pca_mean),parameters) + pca_mean ;

pc_weights = algo_inv_reshape(pc_weights,size(pca_mean),parameters);
pc_weights = squeeze(reshape(permute(pc_weights, [1 2 4 3]),size(pc_weights,1),size(pc_weights,2),size(pc_weights,3)*size(pc_weights,4)));
max_sh_order = 6;
max_pc = 5;

for sho = 1:max_sh_order
    disp(sprintf('Entering Order %d',sho-1));
    max_id = 1:((sho-1+1)^2);
    sha = [];
    for a = 1:size(angles,1)        
        % Evaluate Spherical Harmonic Basis
        sha(a,:) = SHCreateYVec(sho-1,angles(a,1),90-angles(a,2),'deg'); % Convert Elevation to Zenith (Inclination or Colatitude)
%         sha(:,a) = sh_matrix_real(sho,angles(a,1)/180*pi,90-angles(a,2)/180*pi); % Convert Elevation to Zenith (Inclination or Collatidude)    
    end