preProcess in caret function is not giving expected results

General
2

Do a reprex. See the FAQ like the one below using your data in place of the fake version?

library(caret)
#> Loading required package: ggplot2
#> Loading required package: lattice
set.seed(42)
bucket <- sample(seq(0, 600, 0.1), 110)
pV <- data.frame(
  x1 = bucket[1:10],
  x2 = bucket[11:20],
  x3 = bucket[21:30],
  x4 = bucket[31:40],
  x5 = bucket[41:50],
  x6 = bucket[51:60],
  x7 = bucket[61:70],
  x8 = bucket[71:80],
  x9 = bucket[81:90],
  x10 = bucket[91:100],
  x11 = bucket[101:110]
)

range(pV$x5)
#> [1]  62.5 435.7
boxplot(pV,main="Raw Data")


preObj <- preProcess(pV, method = c("center", "scale"))
preObjData <- predict(preObj,pV)
boxplot(preObjData, main="Normalized data" )

Created on 2023-01-30 with reprex v2.0.2