scaling : bool
Scale data for the transformation (no longer rigid body
transformation)
reflection : bool
Allow for the data to be reflected (so it might not be a rotation).
Effective only for non-oblique transformations
reduction : bool
If true, it is allowed to map into lower-dimensional
space. Forward transformation might be suboptimal then and reverse
transformation might not recover all original variance
oblique : bool
Either to allow non-orthogonal transformation – might heavily overfit
the data if there is less samples than dimensions. Use oblique_rcond.
oblique_rcond : float
Cutoff for ‘small’ singular values to regularize the inverse. See
lstsq for more information.
svd : string (numpy, scipy, dgesvd), optional
Implementation of SVD to use. dgesvd requires ctypes to be available.
enable_ca : None or list of str
Names of the conditional attributes which should be enabled in addition
to the default ones
disable_ca : None or list of str
Names of the conditional attributes which should be disabled
demean : bool
Either data should be demeaned while computing
projections and applied back while doing reverse()
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