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: ica_fuse_multipleRegression.m
    path of file: ./repos/fit/FITv2.0e/ica_fuse/ica_fuse_analysis
    
    the code of the file until where you have to start completion: function [rSquare_stat, b, ModelIndices, otherIndices, linearRegress, removeTrend, ica, subject_partial_corr, ...
    partialCorrSlopes] = ...
    ica_fuse_multipleRegression(model, ica, num_Regress, num_DataSets, diffTimePoints, detrendNumber)
% Performs multiple regression
% Outputs: R-Square Statistic, Coefficients, Model Indices, Other than the
% model indices, line fit to model observed data

    
function [rSquare_stat, b, ModelIndices, otherIndices, linearRegress, removeTrend, ica, subject_partial_corr, ...
    partialCorrSlopes] = ...
    ica_fuse_multipleRegression(model, ica, num_Regress, num_DataSets, diffTimePoints, detrendNumber)
% Performs multiple regression
% Outputs: R-Square Statistic, Coefficients, Model Indices, Other than the
% model indices, line fit to model observed data

% inputs are modelTimecourse and icaTimecourse, number of regressors,
% number of data sets

% By default DETRENDNUMBER is 0

% DETRENDNUMBER - case 0 - Removes the mean
% DETRENDNUMBER - case 1 - Removes the mean and linear trend
% DETRENDNUMBER - case 2 - Uses sine and cosine one cycle, removes mean and
% linear trend
% DETRENDNUMBER - case 3 - Uses sine and cosine two cycles plus sine and cosine one cycle, removes mean and
% linear trend


if ~exist('detrendNumber', 'var')
    % use the defaults here
    ica_fuse_defaults;
    global DETREND_NUMBER;
    detrendNumber = DETREND_NUMBER;
end

if nargin < 2
    error('Need atleast two arguments for the multiple linear regression');
end


% Convert to column vector
if size(ica, 1) == 1
    ica = ica';
end

% number of points taken into consideration
nPoints = size(ica, 1);

% check the dimensions
if size(model, 1) ~= nPoints & size(model, 2) ~= nPoints
    error('Model dimensions doesn''t match with that of observed data');
elseif size(model, 1) ~= nPoints
    model = model';
end