What is the difference between svmRadial and lssvmradial in R

svm

#1

hello,

As can be seen there is a difference in the two methods used above.
#SVM 1:
X <- train1[,c(15:51)]
svmfit.radial <- train(as.factor(Recommended) ~ ., data = X,method = “svmRadial”,trControl = ctrl)
svmfit.radial

# SVM 2:
library(kernlab)
svmfit.lssvmradial <- train(as.factor(Recommended) ~ ., data = X,method = "lssvmRadial",trControl = ctrl)
svmfit.lssvmradial

Can someone please guide me on how these two implementations of SVM differ??