User Community
cancel
Turn on suggestions
Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type.
Showing results for 
Show  only  | Search instead for 
Did you mean: 
  • DownloadSemiconductor Toolkit: Tools to create wafer maps, add wafer geometry to graphics, explore die defects & compare wafers.
  • Discovery Summit 2026: Early User Edition - September 23-24.Register. It's free.
  • See how to design an experiment, explore factor-response relationships, assess tradeoffs, and ID best settings. Register for Sep. 11 Mastering JMP.

JMP Wish List

We want to hear your ideas for improving JMP. Share them here.
Choose Language Hide Translation Bar

PCA loadings (column contribution with only X's)

Status: New Submitted by on ‎06-26-2021 06:17 AM
Comment

Similar to predictor screening, the idea is to get a list of columns ordered by their contribution explaining the variability within X containing missings and/or outliers.

 

In PCA, one can plot the partial contribution of the variables. However, this visualization does not consider the different importance between PCs. The eigenvalues table includes the percentage of data explained.

 

FN_0-1624702423743.pngFN_0-1624702423743.png

 

In the PLS platform, this is possible. PCA requires now multiple manual steps.

 

See the answer here:

https://community.jmp.com/t5/Discussions/PCA-total-variable-contribtion/m-p/338594#M58665