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: ft_componentanalysis.m
    path of file: ./repos/malini/Codes/deconvolution - model/spm8/external/fieldtrip
    
    the code of the file until where you have to start completion: function [comp] = ft_componentanalysis(cfg, data)

% FT_COMPONENTANALYSIS performs independent component analysis or other
% spatio-temporal decompositions of EEG or MEG data. This function computes
% the topography and timecourses of the components. The output of this
% function can be further analyzed with FT_TIMELOCKANALYSIS or
% FT_FREQNANALYSIS.
%
% Use as
%   [comp] = ft_componentanalysis(cfg, data)
%
% where the data comes from FT_PREPROCESSING and the configuration
% structure can contain
%   cfg.method       = 'runica', 'fastica', 'binica', 'pca', 'svd', 'jader', 'varimax', 'dss', 'cca', 'sobi', 'white' or 'csp' (default = 'runica')
%   cfg.channel      = cell-array with channel selection (default = 'all'), see FT_CHANNELSELECTION for details
%   cfg.trials       = 'all' or a selection given as a 1xN vector (default = 'all')
%   cfg.numcomponent = 'all' or number (default = 'all')
%   cfg.demean       = 'no' or 'yes' (de
    
function
  tmpcfg.numcomponent = 'all';
  tmpcfg.method       = 'predetermined unmixing matrix';
  tmpcfg.outputfile   = cfg.outputfile;
  cfg                 = tmpcfg;
end

% add the options for the specified methods to the configuration, only if needed
switch cfg.method
case 'icasso'
  cfg.icasso        = ft_getopt(cfg,        'icasso', []);
  cfg.icasso.mode   = ft_getopt(cfg.icasso, 'mode',   'both');
  cfg.icasso.Niter  = ft_getopt(cfg.icasso, 'Niter',  15);
  cfg.icasso.method = ft_getopt(cfg.icasso, 'method', 'fastica');
  
  cfg.fastica       = ft_getopt(cfg, 'fastica', []);
case 'fastica'
  % additional options, see FASTICA for details
  cfg.fastica = ft_getopt(cfg, 'fastica', []);
case 'runica'
  % additional options, see RUNICA for details
  cfg.runica       = ft_getopt(cfg,        'runica',  []);
  cfg.runica.lrate = ft_getopt(cfg.runica, 'lrate',   0.001);
case 'binica'
  % additional options, see BINICA for details
  cfg.binica       = ft_getopt(cfg,        'binica',  []);
  cfg.binica.lrate = ft_getopt(cfg.binica, 'lrate',   0.001);
case {'dss' 'dss2'} % JM at present has his own dss, that can deal with cell-array input, specify as dds2
  % additional options, see DSS for details
  cfg.dss               = ft_getopt(cfg,          'dss',      []);
  cfg.dss.denf          = ft_getopt(cfg.dss,      'denf',     []);
  cfg.dss.denf.function = ft_getopt(cfg.dss.denf, 'function', 'denoise_fica_tanh');
  cfg.dss.denf.params   = ft_getopt(cfg.dss.denf, 'params',   []);
case 'csp'
  % additional options, see CSP for details
  cfg.csp = ft_getopt(cfg, 'csp', []);
  cfg.csp.numfilters = ft_getopt(cfg.csp, 'numfilters', 6);
  cfg.csp.classlabels = ft_getopt(cfg.csp, 'classlabels');
case 'bsscca'
  % additional options, see BSSCCA for details
  cfg.bsscca       = ft_getopt(cfg,        'bsscca', []);
  cfg.bsscca.delay = ft_getopt(cfg.bsscca, 'delay', 1);
  if strcmp(cfg.cellmode, 'no')
    fprintf('switching to cell-mode for method ''bsscca''\n');
    cfg.cellmode = 'yes';
  end