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: sem_panel_FE_LY.m
    path of file: ./repos/malini/Codes/FC_EC_calculation code/DynamicFC/jplv7/spatial/stats/FESPD_Est_Tests
    
    the code of the file until where you have to start completion: function results = sem_panel_FE_LY(y,x,W,N,info)
% PURPOSE: computes spatial error model estimates for spatial panels (N regions*T time periods)

%           y = XB + u,  u = p*W*u + e, using sparse algorithms 

% This program has been developed only for individual effects (no time
% effects)
% This function uses the data transformation proposed by Lung-Fei Lee and 
% Jihai Yu (Journal of Econometrics, 2010, 154, 165-185).

% Input of the function should be original data. The transformation is 
% implemented just below. 

% Supply data sorted first by time and then by spatial units, so first region 1,
% region 2, et cetera, in the first year, then region 1, region 2, et
% cetera in the second year, and so on

% ---------------------------------------------------
%  USAGE: results = sem_panel_FE_LY(y,x,W,T,info)
%  where: y = dependent variable vector
%         x = independent variables matrix (WITHOUT CONSTANT) 
%         W = spatial weights matrix (standardized)
%         N = number of individuals
%       info       = an (optional) structure variable with input options:
%       info.rmin  = (optional) minimum value of rho to 
    
function [detval,time1] = sem_lndet(ldetflag,W,rmin,rmax,detval,order,iter);
% PURPOSE: compute the log determinant |I_n - rho*W|
% using the user-selected (or default) method
% ---------------------------------------------------
%  USAGE: detval = far_lndet(lflag,W,rmin,rmax)
% where eflag,rmin,rmax,W contains input flags 
% and the outputs are either user-inputs or default values
% ---------------------------------------------------


% do lndet approximation calculations if needed
if ldetflag == 0 % no approximation
t0 = clock;    
out = lndetfull(W,rmin,rmax);
time1 = etime(clock,t0);
tt=rmin:.001:rmax; % interpolate a finer grid
outi = interp1(out.rho,out.lndet,tt','spline');
detval = [tt' outi];
    
elseif ldetflag == 1 % use Pace and Barry, 1999 MC approximation

t0 = clock;    
out = lndetmc(order,iter,W,rmin,rmax);
time1 = etime(clock,t0);
results.limit = [out.rho out.lo95 out.lndet out.up95];
tt=rmin:.001:rmax; % interpolate a finer grid
outi = interp1(out.rho,out.lndet,tt','spline');
detval = [tt' outi];

elseif ldetflag == 2 % use Pace and Barry, 1998 spline interpolation

t0 = clock;
out = lndetint(W,rmin,rmax);
time1 = etime(clock,t0);
tt=rmin:.001:rmax; % interpolate a finer grid
outi = interp1(out.rho,out.lndet,tt','spline');
detval = [tt' outi];

elseif ldetflag == -1 % the user fed down a detval matrix
    time1 = 0;
        % check to see if this is right
        if detval == 0
            error('sem: wrong lndet input argument');
        end