// Create a General linear model parameters object from the Gaussian family in this case

  val glmParams = new GLMParameters(Family.gaussian)

  // Give it the data to train. You can get around using the key attribute by Lock and Update
  glmParams._train = h2oData.key
  // Set your dependent variable
  glmParams._response_column = "Some Dependent Variable"
  // Create a GLM Model
  val glm = new GLM(glmParams, Key.make("lmModel.hex"))
  // Use a GLM Model
  val glmModel = glm.trainModel().get()