Quote Originally Posted by Lucas View Post
In Vahaduo / NMonte nothing is lost. Calculation is on 25 PCs. Yes, first principal components are most important always. You can easily dismiss last 5 I think... Someone can make sheet with only 20 values and check.

But you lost 23 PCs when you make PCA plot. Or 22 if you make 3D plot.



Interesting case, you have such example?


yes, I see three individual samples with same PC1 and PC2 coordinates as me (so we all 4 plot in the same point in the 2D graph) and I want to understand how relevant is it:

Sample,PC1,PC2
ISL_Viking_Age_Pre_Christian:SBT-A-1,0.125205,0.128972
SWE_Viking_Age_Sigtuna:vik_stg026,0.125205,0.12897 2
UKR_Chernyakhiv_Shyshaky:MJ37,0.125205,0.128972
Carpathian_Rusnak-West_Moldovan:Nurzat,0.125205,0.128972