You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: bboxpred_train.m
    path of file: ./repos/voc-dpm/bbox_pred
    
    the code of the file until where you have to start completion: function model = bboxpred_train(name, method)
% Train a bounding box predictor.
%   model = bboxpred_train(name, year, method)
%
% Return value
%   model   Model with the bounding box predictor stored in model.bboxpred
%
% Arguments
%   name    Object class
%   method  Regression method (default is least squares regression)

% AUTORIGHTS
% -------------------------------------------------------
% Copyright (C) 2011-2012 Ross Girshick
% Copyright (C) 2008, 2009,
    
function beta = getcoeffs(method, X, y)
switch lower(method)
  case 'default'
    % Least squares regression
    beta = X\y;
  case 'minl2'
    % regularized LS regression
    lambda = 0.01;
    Xr = X'*X + eye(size(X,2))*lambda;
    iXr = inv(Xr);
    beta = iXr * (X'*y);
  case 'minl1'
    % require code from http://www.stanford.edu/~boyd/l1_ls/
    addpath('l1_ls_matlab');
    lambda = 0.01;
    rel_tol = 0.01;
    beta = l1_ls(X, y, lambda, rel_tol, true);
  case 'rtls'
    beta = rtlsqepslow(X, y, eye(size(X,2)), 0.2)
  otherwise
    error('unknown method');
end