Fit a linear regression model and predict a variable dependent on one or more explanatory variables.
> **Note:** This is depreciated. Multivariate Linear Regression API is an example built with Microsoft Azure Machine Learning that fits a linear regression model to user inputted data and outputs the predicted value for each of the observations in the data. Suppose you have a dataset and would like to predict a dependent variable y for each individual based on the other independent variables (*x1,x2,�,xn*). Linear Regression is a popular statistical technique used for such predictions. A simple scenario could be to try to predict the weight of an individual based on their height. A more advanced scenario could be to predict the weight based on additional information for the individual (such as height, gender, and race). *While this web service could be consumed by users � potentially through a mobile app, website, or even on a local computer for example, the purpose of the web service is also to serve as an example of how Azure ML can be used to create web services on top of R code. With just a few lines of R code and clicks of a button within the Azure ML Studio, an experiment can be created with R code and published as a web service. The web service can then be published to the Azure Marketplace and consumed by users and devices across the world with no infrastructure set-up by the author of the web service.*