It would help to have your data and a description of what you want to plot and regress against what else.
Data = sort(rand(25, 4))+rand(1,4);
figure
hs = scatter(Data(:,1), Data(:,2:end), 'filled');
grid
hlsl = lsline;
species = ["A" "B" "C"];
for k = 1:numel(hlsl)
B(:,k) = [hlsl(k).XData; 1 1].' \ hlsl(k).YData.';
hlsl(k).Color = hs(numel(hlsl)-k+1).CData;
hlsl(k).DisplayName = "Species "+species(k);
end
legend(hlsl, 'Location','best')
This identifies each group and regression by colour. The slopes and intercepts of each regression are in the ‘B’ matrix.
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