How to correct this call? bootstat(k2,k1) = mean(boots​trp(1000,@​regress,s_​vec,predic​tor));

The bootstrp function is giving values greater than 1. stm(24,31) are observed values, svf(24,40) are the independent variable that are being bootstrap replacement sampled. Can someone please advise me on how to correct the script below.

Thank you very much, Norm

m=31
n=40

for k1=1:m                                
    for k2=1:n                            

            s_vec=stm(:,k1);             
            predictor=svf(:,k2);           

            NaN_index=find(isnan(s_vec));
            s_vec(NaN_index)=[];
            predictor(NaN_index)=[];

            NaN_index=find(isnan(predictor));
            s_vec(NaN_index)=[];
            predictor(NaN_index)=[];      

           bootstat(k2,k1) = mean(bootstrp(1000,@regress,s_vec,predictor));           
    end    
end
 mean_v2 = mean(bootstat,2)