Can I calculate the mean square error of the results of a regression tree

General
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Hello everyone. I am working with the wine quality dataset.I have made different regression trees as follow:

library(rpart)
library(rpart.plot)
library(rattle)
library(naniar)
library(dplyr)
library(ggplot2)

vinos <- read.csv(file = 'Wine.csv', header = T)

arbol0<-rpart(formula=quality~chlorides, data=vinos, method="anova")
fancyRpartPlot(arbol0)

arbol1<-rpart(formula=quality~chlorides+density, data=vinos, method="anova")
fancyRpartPlot(arbol1)

I want to calculate the mean square error to see how it improves with extra variables, but I don't know how to do it. Can someone please help me?

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