How to get Lasso model odds?

Here is my code:

library(MASS)
library(caret)
df <- Boston
set.seed(3721)
cv.10.folds <- createFolds(df$medv, k = 10)
lasso_grid <- expand.grid(fraction=c(1,0.1,0.01,0.001))
lasso <- train(medv ~ ., 
               data = df, 
               preProcess = c("center", "scale"),
               method ='lasso',
               tuneGrid = lasso_grid,
               trControl= trainControl(method = "cv", 
                                       number = 10, 
                                       index = cv.10.folds))  

lasso

Unlike the linear model, I cannot find the coefficients of the Lasso regression model from the resume (lasso). How should I do it? Or maybe I can use glmnet?

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Source: https://habr.com/ru/post/1667512/


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