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: fit_OspreyMMGaussians.m
    path of file: ./repos/osprey/libraries/FID-A/fitTools/fitModels/Osprey
    
    the code of the file until where you have to start completion: % fit_OspreyMM.m
% Georg Oeltzschner, Johns Hopkins University 2019.
%
% USAGE:
% [fitParams] = fit_Osprey(dataToFit, resBasisSet, fitOpts);
% 
% DESCRIPTION:
% This is the function describing the Osprey fitting model, which is
% performed with the resampled basis set resBasisSet on the data contained
% in the FID-A data structure dataToFit, using the fit options in the
% structure fitOpts.
%
% This model is attempting to emulate the rather elusive original LCModel
% algorithm (Provencher, Magn R
    
function describing the Osprey fitting model, which is
% performed with the resampled basis set resBasisSet on the data contained
% in the FID-A data structure dataToFit, using the fit options in the
% structure fitOpts.
%
% This model is attempting to emulate the rather elusive original LCModel
% algorithm (Provencher, Magn Reson Med 30:672-679 (1993)).
% 
% OUTPUTS:
% fitParams   = Structure containing all necessary fit parameters
%                   - ampl: amplitudes for metabolite/MM/lipids
%                   - beta_j: amplitudes for baseline spline functions
%                   - lineshape: coefficients for lineshape convolution
%                   - ph0: zero-order phase correction
%                   - ph1: first-order phase correction
%                   - gaussLB: Gaussian dampening (common to all basis
%                       functions)
%                   - lorentzLB: Lorentzian dampening (individual to each
%                       basis function)
%                   - freqShift: frequency shift (individual to each basis
%                       function)
%
% INPUTS:
% dataToFit   = FID-A data structure
% basisSet    = FID-A basis set container
% fitOpts     = Structure containing fit options

function [fitParams, resBasisSet] = fit_OspreyMMGaussians(dataToFit, basisSet, fitOpts)

%%% 0. PREPARE DATA AND BASIS SET %%%
dataToFit               = op_zeropad(dataToFit, 2);
% Resample basis set to match data resolution and frequency range
resBasisSet             = fit_resampleBasis(dataToFit, basisSet);


%%% 1. EXTRACT OPTIONS AND PREPARE FIT %%%
% Extract ppm fit range
fitRangePPM             = fitOpts.range;

dataToFitRef = op_freqshift(dataToFit, -fitOpts.Params2.refShift);
%%% 4. FINAL PRELIMINARY ANALYSIS STEP 2 %%%
% In the final step of the preliminary analysis, the full basis set is used
% with the full LCModel (except for baseline regularization) to obtain
% the final optimal starting values.
disp('Running final preliminary analysis step with full basis set...');
[fitParamsStep4] = fit_OspreyPrelimStep2MMGaussians(dataToFitRef, resBasisSet, fitRangePPM, fitOpts.Params2);



%%% 5. CREATE OUTPUT %%%
% Return fit parameters
fitParams = fitParamsStep4;
end