[R] caret - prevent resampling when no parameters to find

[pdb]

I want to use caret to build a model with an algorithm that actually has no
parameters to find. 

How do I stop it from repeatedly building the same model 25 times?


library(caret)
data(mdrr)
LOGISTIC_model <- train(mdrrDescr,mdrrClass
                        ,method='glm'
                        ,family=binomial(link="logit")
                        )
LOGISTIC_model

528 samples
342 predictors
  2 classes: 'Active', 'Inactive' 

Pre-processing: None 
Resampling: Bootstrap (25 reps) 

Summary of sample sizes: 528, 528, 528, 528, 528, 528, ... 

Resampling results

  Accuracy  Kappa   Accuracy SD  Kappa SD
  0.552     0.0999  0.0388       0.0776  --
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