HELP!!! Trying to apply glm to my imported data. Can anyone help? Don't be put off by the code it is a generated script.

[~, ~, raw, dates] = xlsread('REMOVED\mortgagedata.xls','DATA','A2:X400','',@convertSpreadsheetExcelDates); raw(cellfun(@(x) ~isempty(x) && isnumeric(x) && isnan(x),raw)) = {''}; cellVectors = raw(:,[2,3,5,7,14,16,17,18,19,20,21]); raw = raw(:,[1,4,6,8,9,12,13,15,22,23,24]); dates = dates(:,[10,11]);

R = cellfun(@(x) ~isnumeric(x) && ~islogical(x),raw); % Find non-numeric cells raw® = {NaN}; % Replace non-numeric cells R = cellfun(@(x) ~isnumeric(x) && ~islogical(x),dates); % Find non-numeric cells dates® = {NaN}; % Replace non-numeric Excel dates with NaN

data = reshape([raw{:}],size(raw));

x1 = data(:,1); x2 = cellVectors(:,1); x3 = cellVectors(:,2); x4 = data(:,2); x5 = cellVectors(:,3); x5= data(:,3); x6 = cellVectors(:,4); x7 = data(:,4); x8 = data(:,5); x9 = datetime([dates{:,1}].', 'ConvertFrom', 'Excel', 'Format', 'dd/MM/yyyy'); x10 = datetime([dates{:,2}].', 'ConvertFrom', 'Excel', 'Format', 'dd/MM/yyyy'); x11 = data(:,6); x12 = data(:,7); x13 = cellVectors(:,5); x14 = data(:,8); x15 = cellVectors(:,6); x16 = cellVectors(:,7); x17 = cellVectors(:,8); x18 = cellVectors(:,9); x19 = cellVectors(:,10); x20 = cellVectors(:,11); x21 = data(:,9); y1 = data(:,10); y2 = data(:,11);

clearvars data raw dates cellVectors R;

%%everything above this point is a generated script from imported data

modelspec= '(y1,y2)~x1*x2*x3 - x1:x2:x3';

mdl=fitglm(mortgagedata,modelspec,'Distribution','binomial')

(NOTE: the word 'REMOVED' was put in to replace confidential information.)

I am trying to find a model using glm to find out how the predictor variables x1 to x21 determine whether the predictor response has a 1 or a 0 in either y1 or y2. If there is a 1 in y1 then the y2 is a 0. I have turned this into a binary vector.

I would really appreciate any support and will provide best answer to anyone who can help me get this working.