10
I tried to make this model using only one sample by continent, so I tried to choose samples from countries/ethnicities with less input from other continents.
Of course, if you are not from any region/country/ethnicity represented in these sources, you will not get close distances, and you will get more % from other continents, and this does not imply you hace ancestry necessarily from those regions.
UNSCALED coordinates
https://vahaduo.github.io/vahaduo/
(@Maestro, yes, you need G25 coordinates to run this calculator)
Code:Europe:Irish,0.0117203,0.0132812,0.0161984,0.0149391,0.0124578,0.0067766,0.0012766,0.0020688,0.0015312,0.0014953,-0.0043969,0.0037406,-0.0096703,-0.0101203,0.0186766,0.0036359,-0.0084922,0.0017406,0.0005969,0.0010703,0.0041469,0.0009906,-0.0002891,0.0122547,0.0008906 Oceania:AustralianAborigen,-0.0037,-0.02315,-0.05665,0.0726,0.045,-0.122,-0.00135,0.00325,-0.00405,0.00045,-0.0038,8e-04,0.00055,-0.00195,-0.0026,-1e-04,0.0077,0.0016,-0.0019,0.00485,0.00285,-3e-04,-0.00275,0.00105,-0.0038 America:AmerindianNorth,0.0046,-0.0323,0.0291,0.0228,-0.034,-0.006,-0.0861,-0.1051,-0.0013,-0.0086,0.0042,-0.0033,0.0038,0.0003,-0.0108,-0.002,-0.0002,0.0046,0.01,0.0051,0.0019,-0.008,-0.0034,0.0048,0.0061 Africa:Yoruba,-0.0554,0.0066,0.0055,0.005,0.0006,0.0054,-0.02,0.0221,-0.0257,0.0193,0.0027,0.0033,0.0169,0.001,0.0102,-0.0053,0.0076,0.0034,0.0061,-0.0017,-0.0003,0.0006,-0.0016,-0.0017,-0.0025 Asia:Japanese,0.0020167,-0.0438667,0.0034667,-0.0183,0.0117667,0.00335,0.0015,0.00025,-0.0031833,0.00585,-0.0456,-0.0049833,0.0077667,-0.0051333,-0.00815,-0.0033667,0.0002333,0.0028333,0.0013333,-0.0074,0.0216667,-0.0134167,0.0039833,0.0028,-0.03505
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