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When I compress a matrix of spectra using 'pls' method...
ortho_projection(Xr = pls.data, Xu = NULL, Yr = target, method = "pls", pc_selection = list(method = "manual", value = 3))
The scores matrix from this object are column-named pls_1, pls_2, and pls_3.
If I predict new spectra with this trained model, the scores column names are pls1, pls2, and pls2, requiring that I rename it within the pipeline for plotting or analyzing both datasets in conjunction.
This does not happen for method pca.
Thanks
The text was updated successfully, but these errors were encountered:
Hi Leo,
I think this is just a small fix...
When I compress a matrix of spectra using 'pls' method...
The scores matrix from this object are column-named
pls_1
,pls_2
, andpls_3
.If I predict new spectra with this trained model, the scores column names are
pls1
,pls2
, andpls2
, requiring that I rename it within the pipeline for plotting or analyzing both datasets in conjunction.This does not happen for method
pca
.Thanks
The text was updated successfully, but these errors were encountered: