FOSS CALIBRATOR: Tutorial 007

This time we want to test the performance of the models with a new sample set that, I have imported as Validation Set (so it is not divide into, training and validation as in other cases).

First we check if there are any strange spectrum (which is not the case), so we go to Models _ Predict to see how the new samples appear in the XY validation plot versus the samples we have used during the development of the model. A clear bias appear, so we have to improve the model adding this new variability (new company, new batches, samples much more recent than the used in the calibration, new instrument, different laboratory,….).

FOSS CALIBRATOR: Tutorial 006

A calibration is robust if independently of the validation and training sets their predictions are robust as well, so we can try with different sets for training and validation selected randomly, time based, retaining parameter distribution,.....

Foss Calibrator can help quite a lot in this part as you can see in the video.

Water Absortion in Wheat Flour

Undertand you product and the parameters of that product it is very important for the development of the calibration. XY Plots and Residuals plot helps to understand them you use colors, symbols or other resources to create them.

In this case is a validation of water absortion in wheat flour, and all the samples are represented (low, medium and high strength (Flojas, Media Fuerza y Fuerza) , and  some use aditives and others not. 

Filters and other functions of ggplot or R, help to see the figures in more details and get interesting information to improve the calibration.

FOSS CALIBRATOR: Tutorial 005

Time to create the outlier model to predict the Mahalanobis distances in the principal component space.

FOSS CALIBRATOR: Tutorial 004

This is the video number 4 for the Foss Calibrator tutorials in spanish, where a model is developed using the MPLS algorithm. After the model calculation we can see several plots and statistics.

Foss calibrator is very fast for this types of models so we can do several almost at the same time and choose the best one.

Review the statistics and plots trying to finds patterns, outliers,...,etc