Unfortunately to my knowledge the only way would be to write a SAS macro that performs the steps of LIME yourself. This might be a little short on details, but cover these steps cover tabular LIME:
1) Run an analysis to obtain the variance for each input variable
2) Choose an observation which you wish to run LIME on
3) Create N samples, where the observations are sampled from a Gaussian normal distribution with mean equal to the variable value for observation from 2) and the variance equal to the variance from 1)
4) Calculate weights for each observation using the RBF kernel between the observation in 2) and the generated observations in 3)
5) Score this new data set using the model
6) Run a weighted regression on the scored data set using the output of the model as the dependent variable and the inputs of the model as the independent variables
Let me know if this helps.
