How do I do a logistic regression model in R for an outcome with multiple values? 
I want to analyse the association between the outcome "Other CTR-CVD" and the independent variables would be "anthracyclines", "Her2", "VEGF", "TKI, "Prot Inh", RAF/MEK Inh, "ICI" and Fluoropirimidines"
(this are the 8 first rows of the table I have with the date of 296 patients)

When you want to do something like logistic regression but with $3+$ outcome categories instead of two, the $y$ is multinomial instead of binomial. Consequently, the analogous model is multinomial logistic regression, sometimes called polytomous logistic regression or softmax regression.
In R, this can be performed by using multinom in the nnet package.
