I would like to use pyls.behavioral_pls for my current project. When inspecting the attributes from pyls.structures.PLSBootResults I noticed that it only offers y_loadings_ci but not a corresponding x_loadings_ci. In fact I discovered that Justine Hansen already created a workaround for this issue by running PLS one more time with flipped X and y to get the 'right' confidence intervals. But maybe it would make sense to implement x_loadings_ci in the first place?
I would like to use
pyls.behavioral_pls
for my current project. When inspecting the attributes frompyls.structures.PLSBootResults
I noticed that it only offersy_loadings_ci
but not a correspondingx_loadings_ci
. In fact I discovered that Justine Hansen already created a workaround for this issue by running PLS one more time with flippedX
andy
to get the 'right' confidence intervals. But maybe it would make sense to implementx_loadings_ci
in the first place?