load predsfor13sesandols

%uniquessessions: 27x4
% col 1 uniques session #, col 2 glucometer, col 3 user,
%col 4 number of spectra (6x#of sittings)
%user 1 = mike
%user 2 = pam
%user 3 = jake
%user 4 = anna
%user 5 = deb
%glucometer 1-5, CGM, Ultra, FS Lite, Oxi, Verio
%
%pando= structure, 27x1 (pando is short for Predicitons and Outliers)
%each structure is mxnxo mx7xx27
%m is # of spectra in unique session
%n is lanzcos preds, simpls preds, gluco ref, Lof, lev, Qres, T2
%o is each unique session; the uniques session that built the bvectors and
%ols foun in cols n
%
%protopredmc is attached mainly for reference
%protopredmc is struct, mxn 13x5 m=session, n=glucometer
%not all protopredmc values have info (ie, no glucometer)
%the "did" variable in any entry is the logical of spectra used in the cal
%for that session



u_ses_to_pred=1;
u_ses_to_pred_with=25;

plot([pando(u_ses_to_pred).predsols(:,3,u_ses_to_pred_with),pando(u_ses_to_pred).predsols(:,1:2,u_ses_to_pred_with)]);grid;shg