function abcdFinal_github

clear
set_path;
cfg.idf = 'no_anom_new_common_bmi'; % If you use this identifier, the data
% should be added inside the data/no_anom_new_common_bmi folder.
cfg.dir.project = '/path_to_your_main_project_folder/abcdAll_noA'; % THIS NEEDS CHANGING
cfg.frwork.flag = '_fair_modeA_pub_noAnom_new_common_bmi'; % this is just a flag, feel free to change it.

cfg.data.block = 1;
cfg.frwork.split.EBcol = 2:3;

cfg.machine.param.nL1x = 20;
cfg.machine.param.nL1y = 20;
cfg.frwork.split.nin = 5;
cfg.frwork.split.nout = 1;
cfg.frwork.split.propout = 0.2;
cfg.stat.nperm = 500;
cfg.frwork.name = 'fair';
% in the fair framework, we have mutually exclusive test sets (nout many and with propout
% proportion) with corresponding training sets (nout many and with the
% remaining subjects). the inner folds are regular CV's with nin many sets.

% Machine settings
cfg.machine.name = 'spls';
cfg.machine.metric = {'correl' 'simwx' 'simwy'};
cfg.machine.param.crit = 'correl+simwxy';

% Environment settings
cfg.env.comp = 'cluster';

% Deflation settings
cfg.defl.name = 'pls-modeA';
cfg.defl.crit = 'none';
cfg.defl.split = 'all';

% Statistical inference
cfg.stat.split.crit = 'correl';
cfg.stat.overall.crit = 'none';

% Deconfounding & Preprocessing Order
cfg.data.conf = 1;
cfg.data.X.preproc = {'impute', 'deconf', 'zscore'};
cfg.data.Y.preproc = {'impute', 'deconf', 'zscore'};
 
% Update cfg with defaults
cfg = cfg_defaults(cfg);

%----- Run analysis
main(cfg);