I have a data set of 87 variables and 1 outcome where all are continuous. I need to use linear regression with leave-one-out cross validation to create a model/equation with prediction's accuracy, sensitivity, and specificity.

• Can I use Regression Learner app for this? If yes how to get quation from a created model in Regression Learner app?
• Can/Should I use cross validation to divide my data set and get the results?
• Is there any code sample on how to go about doing this? (I'm new to all of this)
• Should I be using stepwiselm or fitlm or glmfit/glmval? What's the difference and how do I choose?