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.
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