@karlnapf I think I will skip doing the AUTO thing.

```Principal component algorithm that pca uses to perform the principal component analysis [...]:

'svd' -- Default. Singular value decomposition (SVD) of X.

'eig' -- Eigenvalue decomposition (EIG) of the covariance matrix. The EIG algorithm is faster than SVD when the number of observations, n, exceeds the number of variables, p, but is less accurate because the condition number of the covariance is the square of the condition number of X```
The above is a note from MATLAB documentation. I think its better to stick to this convention (ie SVD by default) ?