Discuss the function supported in R language to differentiate between linear regression and multiple regression. Write programs using R programming language to support your answer with any sample data.

In R, distinguishing between linear regression and multiple regression involves understanding their fundamental differences in modeling relationships between variables. Linear regression involves predicting a response variable based on a single predictor variable, while multiple regression incorporates multiple predictor variables to predict the response variable. Let's delve into the functions and create sample programs to illustrate both types of regression using R.

### Linear Regression in R:

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