Car Package in R: powerTransform() - Error non-finite finite-difference value [1]

Question

Issue:

I have a data frame (called Yeo) containing six parameters with continuous values (columns 5-11)(see parameters below) and I conducted a Shapiro-Wilk test to determine whether or not the univariate samples came from a normal distribution. For each parameter, the residuals showed non-normality and it's skewed, so I want to transform my variables using both the yjPower (Yeo transformation) and the bcPower(Box Cox transformation) families to compare both transformations.

I have used this R code below before on many occassions so I know it works. However, for this data frame, I keep getting this error (see below). Unfortunately, I cannot provide a reproducible example online as the data belongs to three different organisations. I have opened an old data frame with the same parameters and my R code runs absolutely fine. I really can't figure out a solution.

Would anybody be able to please help me understand this error message below?

Many thanks if you can advise.

Error

transform=powerTransform(as.matrix(Yeo[5:11]), family= "yjPower")

Error

Error in optim(start, llik, hessian = TRUE, method = method, ...) : 
  non-finite finite-difference value [1]

#save transformed data in strand_trans to compare both
stand_trans=Yeo

stand_trans[,5]=yjPower(Yeo[,5],transform$lambda[1])
stand_trans[,6]=yjPower(Yeo[,6],transform$lambda[2])
stand_trans[,7]=yjPower(Yeo[,7],transform$lambda[3])
stand_trans[,8]=yjPower(Yeo[,8],transform$lambda[4])
stand_trans[,9]=yjPower(Yeo[,9],transform$lambda[5])
stand_trans[,10]=yjPower(Yeo[,10],transform$lambda[6])
stand_trans[,11]=yjPower(Yeo[,11],transform$lambda[7])

Parameters

'data.frame':   888 obs. of  14 variables:
 $ ID               : num  1 2 3 4 5 6 7 8 9 10 ...
 $ Year             : num  2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 ...
 $ Date             : Factor w/ 19 levels "","01.09.2019",..: 19 19 19 19 19 19 19 17 17 17 ...
 $ Country          : Factor w/ 3 levels "","France","Argentina": 3 3 3 3 3 3 3 3 3 3 ...
 $ Low.Freq         : num  4209 8607 9361 9047 7979 ...
 $ High.Freq        : num  15770 18220 19853 18220 17843 ...
 $ Start.Freq       : num  4436 13945 16264 12283 12691 ...
 $ End.Freq         : num  4436 13945 16264 12283 12691 ...
 $ Peak.Freq        : num  4594 8906 11531 10781 8812 ...
 $ Center.Freq      : num  1.137 0.754 0.785 0.691 0.883 ...
 $ Delta.Freq       : num  11560 9613 10492 9173 9864 ...