betahat_SD_R: Steepest Descent Optimization Method for Linear Models
In FrancescoBarile/FJLPackage: OurPackage

betahat_SD_R is used to estimates the beta vector of a linear Regression model via Steepest Descent

1	betahat_SD_R(beta, x, y, tolerance, maxit)

`beta`	[numeric] vector containing an initial guess for the beta vector
`x`	[numeric] design matrix
`y`	[numeric] response variable vector
`tolerance`	[numeric] tolerance level, stopping criteria of the algorithm (error<tolerance: stop)
`maxit`	[numeric] maximum number of iterations, used if the stopping criteria is never matched