Error in ccmtrain.m - Githubissues

If I try to execute the following MATLAB commands (MAT files are included for your convenience)

load(fullfile(Sdir,'target_responses.mat')); load(fullfile(Sdir,'camera_responses.mat')); [Mcor, scale, predicted_responses, errs_train] = ccmtrain(Target,Reference,'loss','ciede00','bias',false,'targetcolorspace','sRGB','preservewhite',true);

% then I receive the following errors

Error using parseParameterInputsML>findParm (line 166) Unrecognized parameter name: 'PlotFcns'.

Error in parseParameterInputsML (line 44) pidx = findParm(args{k},parms, ...

Error in parseParameterInputsML (line 14) pstruct = parseParameterInputsML(fieldnames(parms),options,args);

Error in coder.internal.parseParameterInputs (line 86) pstruct = parseParameterInputsML(parms,options,varargin);

Error in optimoptions

Error in ccmtrain (line 207) options = optimoptions(@fmincon,...

% If I then remove line 212 if ccmtrain.m, the following error occurs

Unrecognized function or variable 'eml_option'.

Error in optim.coder.validate.checkProducts

Error in fmincon

Error in ccmtrain (line 219) matrix = fmincon(costfun, matrix0(:), [], [], Aeq, beq, [], [], [], options);

% How does one circumvent these errors?

Thank you in advance and sincerely,

Dr. Peter Costa

% P.S. I could not upload the MAT files I wanted to include. Here they are in raw form

Target Target =

0.8627    0.4510    0.5137
0.8627    0.4510    0.5137
0.8745    0.5333    0.6314
0.8863    0.6784    0.7529
0.9961    1.0000    0.9961
0.8824    0.8157    0.8667
0.5529    0.2706    0.3804
0.5569    0.3137    0.4588
0.5647    0.4039    0.5412
0.6275    0.5961    0.7020
0.8118    0.6471    0.7843
0.4745    0.2275    0.3647
0.4902    0.2706    0.4431
0.4980    0.3490    0.5216
0.5569    0.5176    0.6706
0.6863    0.3804    0.6431
0.2353    0.1098    0.2431
0.2431    0.1294    0.2941
0.2471    0.1686    0.3451
0.2627    0.2471    0.4235
0.9176    0.8588    0.7490
0.9137    0.9098    0.5020
0.8706    0.7686    0.8118
0.7137    0.4471    0.3451
0.8902    0.8863    0.8549
0.8902    0.7098    0.3451
0.9176    0.9059    0.6275
0.8157    0.6471    0.7216
0.5725    0.2431    0.1725
0.3725    0.3373    0.2392
0.8667    0.5725    0.1020
0.9059    0.8824    0.4039
0.7529    0.5020    0.6196
0.2235    0.0392    0.0078
0.2235    0.1804    0.0941
0.3647    0.6902    0.7490
0.8510    0.8863    0.9059
0.2549    0.2784    0.3294
0.3373    0.3569    0.4039
0.5569    0.5725    0.6157
0.0353    0.3333    0.3176
0.4431    0.5725    0.8157
0.1490    0.1686    0.2275
0.2078    0.2353    0.2902
0.3608    0.3961    0.4627
0.0118    0.2000    0.1569
0.2275    0.3686    0.7529
0.0745    0.0941    0.1451
0.1059    0.1255    0.1804
0.1922    0.2157    0.2863
0.0078    0.0078    0.0078
0.3294    0.0627    0.1098
0.5804    0.2039    0.4196
0.9176    0.9059    0.6157
0.8980    0.8980    0.3725

Reference Reference =

1.0000    0.2542    0.5333
1.0000    0.2542    0.5271
1.0000    0.3564    0.6795
1.0000    0.5395    0.7913
0.9911    1.0000    0.9911
0.8879    0.7454    0.8550
0.8228    0.1248    0.4020
0.8148    0.1812    0.5089
0.7379    0.2961    0.5906
0.6584    0.5520    0.7379
0.8879    0.5457    0.8148
0.7231    0.0976    0.3916
0.7231    0.1470    0.4969
0.6514    0.2423    0.5776
0.5841    0.4621    0.7157
0.8714    0.2270    0.7084
0.3763    0.0307    0.2747
0.3813    0.0545    0.3467
0.3419    0.1022    0.4020
0.2961    0.2016    0.4851
0.9823    0.8070    0.6939
0.8796    0.9216    0.4397
0.9216    0.7011    0.8148
0.9301    0.3050    0.3467
0.8388    0.7758    0.7231
1.0000    0.6308    0.2346
0.9047    0.8963    0.5520
0.9301    0.5520    0.7454
0.8228    0.0999    0.1946
0.4020    0.3050    0.2086
1.0000    0.4735    0.0086
0.9131    0.8796    0.2747
0.9301    0.3864    0.6654
0.4233         0    0.0356
0.2789    0.1590    0.0802
0.1070    0.7605    0.7605
0.7991    0.8550    0.8963
0.2307    0.2664    0.3467
0.3185    0.3419    0.4233
0.5457    0.5583    0.6308
     0    0.4342    0.3372
0.2789    0.5395    0.8632
0.1248    0.1651    0.2462
0.1812    0.2232    0.3050
0.3372    0.3916    0.4851
     0    0.2747    0.1683
0.0561    0.3419    0.8469
0.0595    0.0887    0.1529
0.0908    0.1195    0.1946
0.1651    0.2086    0.3095
0.0006         0    0.0018
0.5647         0    0.1441
0.8632    0.0437    0.4564
0.9131    0.9047    0.5457
0.8879    0.9387    0.3005

QiuJueqin / color-correction-toolbox

Error in ccmtrain.m #1