I keep getting this error, "Not enough input arguments" for my fit function. How to resolve this?

%% Fit: 'untitled fit 1'.
[xData, yData] = prepareCurveData(time, PLkinetics );
% Set up fittype and options.
ft = fittype( 'exp2' );
excludedPoints = xData < 0.235;
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.Lower = [1253000000 -59.85 54.95 -1.791];
opts.StartPoint = [86.7593397136756 -5.83107018617984 38.6125589857038 0.495341980324732];
opts.Upper = [2.933e+15 -56.18 90 -1.35];
opts.Exclude = excludedPoints;
% Fit model to data.
[fitresult, gof] = fit( xData, yData, ft, opts );
% Plot fit with data.
figure( 'Name', 'untitled fit 1' );
h = plot( fitresult, xData, yData, excludedPoints );
legend( h, 'PLkinetics vs. time', 'Excluded PLkinetics vs. time', 'untitled fit 1', 'Location', 'NorthEast', 'Interpreter', 'none' );
% Label axes
xlabel( 'time', 'Interpreter', 'none' );
ylabel( 'PLkinetics', 'Interpreter', 'none' );
grid on

Answer 1

[Cris LaPierre]

You may need to share your data. When I run your code with some made up data, I do not get an error.

Please share the complete error message (all the red text)

% data for testing
time=linspace(1,5);
PLkinetics = 5*exp(time);

%% Fit: 'untitled fit 1'.
[xData, yData] = prepareCurveData(time, PLkinetics );
% Set up fittype and options.
ft = fittype( 'exp2' );
excludedPoints = xData < 0.235;
opts = fitoptions( 'Method', 'NonlinearLeastSquares' );
opts.Display = 'Off';
opts.Lower = [1253000000 -59.85 54.95 -1.791];
opts.StartPoint = [86.7593397136756 -5.83107018617984 38.6125589857038 0.495341980324732];
opts.Upper = [2.933e+15 -56.18 90 -1.35];
opts.Exclude = excludedPoints;
% Fit model to data.
[fitresult, gof] = fit( xData, yData, ft, opts );
% Plot fit with data.
figure( 'Name', 'untitled fit 1' );
h = plot( fitresult, xData, yData, excludedPoints );

[Naeimeh N]

I agree with your answer. The code works for me as well.