What does rotmat signifies in varimax function during PCA

r
pca

#1

I am currently doing a problem on PCA in which I have used a varimax after using varimax function I have look the values in which I came across a term rotmat which I am unable to understand .

library(lattice)
my.wines <- read.csv(“http://steviep42.bitbucket.org/YOUTUBE.DIR/wines.csv”, header=TRUE)
pairs(my.wines[,-1])
my.prc <- prcomp(my.wines[,-1], center=TRUE, scale=TRUE)
biplot(my.prc, cex=c(1, 0.7))
my.var <- varimax(my.prc$rotation)
my.var
$loadings

Loadings:
PC1 PC2 PC3 PC4 PC5
Hedonic 0.918
Meat 0.907
Dessert 1.000
Price 0.695 -0.149 0.301
Sugar 0.994
Alcohol -0.642 -0.243 0.202
Acidity -0.323 0.275 0.214

             PC1   PC2   PC3   PC4   PC5

SS loadings 1.000 1.000 1.000 1.000 1.000
Proportion Var 0.143 0.143 0.143 0.143 0.143
Cumulative Var 0.143 0.286 0.429 0.571 0.714

$rotmat
[,1] [,2] [,3] [,4] [,5]
[1,] 0.70664822 -0.04735964 -0.46121291 -2.645592e-01 -0.4644313
[2,] 0.27051363 0.73498467 -0.14706653 5.854297e-01 0.1492094
[3,] 0.31748715 0.19961807 0.85883651 -9.607106e-02 -0.3354471
[4,] 0.07771255 -0.55719513 0.06127638 7.602966e-01 -0.3188866
[5,] 0.56624495 -0.32747645 0.15588180 6.086740e-07 0.7401532


#2

Hi @hinduja1234,

Please see the below image:


the rotmat is the standardised scores rotated.