How to find the final formula or equation that is produced by regression learner.

I have created a trainedModel for my data by using Train Regression Models in Regression Learner App. After I exported my model to workspace, I'm looking for a way to write my equation on a paper as y = variable1......Variable 16. The reason I need this is to see how these variables are correlated. Is there any way to study this? I see the trainedModel structure but I can’t see the equation in terms of formal. Any idea please?

I have this:

yfityfit = trainedModel.predictFcn(T)
%% but I wanna see the equation inside the trainedModel.predictFcn
rainedModel
trainedModel = 
  struct with fields:
        predictFcn: @(x)exportableModel.predictFcn(predictorExtractionFcn(x))
    RegressionTree: [1×1 classreg.learning.regr.CompactRegressionTree]
             About: 'This struct is a trained model exported from Regression Learner R2019a.'
      HowToPredict: 'To make predictions on a new predictor column matrix, X, use: ↵  yfit = c.predictFcn(X) ↵replacing 'c' with the name of the variable that is this struct, e.g. 'trainedModel'. ↵ ↵X must contain exactly 16 columns because this model was trained using 16 predictors. ↵X must contain only predictor columns in exactly the same order and format as your training ↵data. Do not include the response column or any columns you did not import into the app. ↵ ↵For more information, see How to predict using an exported model.'

[Samuel Ferreira]

Hey, I'm have the same problem. I want get the equation of the regression learning after training. Some answer for it?

[Nathan Williams]

I also have the same problem.