(This article was first published on

**NIR-Quimiometría**, and kindly contributed to R-bloggers)Let´s see know how to plot the scores for the 3 PLS Components:

We can see the explained variance from each component in the diagonal.

We can get it from R with:

**> explvar(gas1)**

Comp 1 Comp 2 Comp 3 Comp 4 Comp 5 Comp 6

70.9656438 7.5943956 7.5871843 9.2537926 0.7201960 0.8472951

Comp 7 Comp 8 Comp 9 Comp 10

0.3538649 0.7810986 0.2184760 0.3878373

We can change “scores” for “ loadings”, and get the plot of the 3 loadings together:

or one by one:

We can plot also the regression coefficients spectrum, or to see the values in numbers:

**> coef(gas1,comp=3)**

**octane**

**900 nm 0.1491498386**

**902 nm 0.1468577061**

**904 nm 0.1463829295**

**906 nm 0.1478201762**

**908 nm 0.1511718253**

**910 nm 0.1521591068**

**912 nm 0.1756188138**

**914 nm 0.1561727797**

**916 nm 0.1580512737**

**918 nm 0.1342321544**

**920 nm 0.1140515422**

**922 nm 0.1154623941**

**…………………**

**…………………**

*Bibliography:*

*Tutorials PLS Package for “R” :*Bjorn-Helge Mevik

*Norwegian University of Life Sciences*

Ron Wehrens

*Radboud University Nijmegen*

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