BWIQ™ combines traditional chemometric methods such as Partial Least Squares Regression (PLSR) and Principal Component Analysis (PCA) with new methods, such as B&W Tek’s proprietary adaptive iteratively reweighted Penalized Least Squares (airPLS) algorithm for automatic baseline correction and Support Vector Machine (SVM) algorithms for non-linear datasets.
To read the full press release, click here.
For more product information, click here.
Looking for something specific?
