Scree Plot have the same variances explained for all principal components

I've done pca on my data. I know scree plot should have decrasing graph, but my scree plots shows same number of variances explained by all the 7 PCs. Below is my code. Anyone knows what is the factor that makes my scree plot like this?

[coeff3,score3,latent3,explained3,tsquared3]=pca(X(2:8,2:end));
plot(score3(:,1),score3(:,2),'s')
xlabel('1st Principal Component')
ylabel('2nd Principal Component')
title('Blood Samples and Cortisol')
gname
xh=gca;
color='y';
linestyle = '--';
axh=gca;
line(get(axh,'XLim'), [0 0], 'Color', color, 'LineStyle', linestyle);
line([0 0], get(axh,'YLim'), 'Color', color, 'LineStyle', linestyle);
pareto(explained)

[ack]

I think this is more to do with your input data. I used to have something like a flat scree plots and refining input data helps for me.

Answer 1

[Guan Wang]

the fouth and 5th outputs, named explained3 and tsqured, should be reordered to tquared and explained3.

pareto(the 5th output)