Find RSME and Standard Deviation of a StatsModels Multiple Regression

I currently have a multiple regression that generates an OLS summary based on the life expectancy and the variables that impact it, however that does not include RMSE or standard deviation. Does statsmodels have a rsme library, and is there a way to calculate standard deviation from my code?

I have found a previous example of this problem: regression model statsmodel python , and I read the statsmodels info page: https://www.statsmodels.org/stable/generated/statsmodels.tools.eval_measures.rmse.html and testing I am still not able to get this problem resolved.

import pandas as pd
import openpyxl
import statsmodels.formula.api as smf
import statsmodels.formula.api as ols

df = pd.read_excel(C:/Users/File1.xlsx, sheet_name = 'States')

dfME = df[(df[State] == "Maine")]

pd.set_option('display.max_columns', None)

dfME.head()

model = smf.ols(Life Expectancy ~ Race + Age + Weight + C(Pets), data = dfME) 
modelfit = model.fit()
modelfit.summary

source https://stackoverflow.com/questions/68532863/find-rsme-and-standard-deviation-of-a-statsmodels-multiple-regression

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