pca function returns the wrong output in R2022a

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Dear all,
I tried to use pca on 10x16 matrix. The function returned a 16x1 vector for coeff. According to the documentation it should be 16x16 matrix in my case. I figured, there must be something wrong with my input matrix, so I tried the example from the pca documentation page and got this:
load hald
>> coeff=pca(ingredients)
coeff =
517.7969
67.4964
12.4054
0.2372
Can there be something wrong with the pca function? Maybe its version issue. I am using R2022a.
Does anyone experience something similiar?

Accepted Answer

Steven Lord
Steven Lord on 6 Jun 2023
Let's check that you're using the pca function included in Statistics and Machine Learning Toolbox. What does this command show?
which -all pca
/MATLAB/toolbox/stats/stats/pca.m /MATLAB/toolbox/stats/bigdata/@tall/pca.m % tall method /MATLAB/toolbox/stats/gpu/@gpuArray/pca.m % gpuArray method
  6 Comments
Paul
Paul on 7 Jun 2023
I didn't write it myself. It came with a repository that was left behind by a former colleague.
Paul
Paul on 7 Jun 2023
I excluded the folder from my path. Now pca works as expected. Thanks for your help!

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