BWIQ® is a comprehensive multivariate analysis software package for analysis of spectral data including exploratory, qualitative analysis and quantitative regression methods. BWIQ supports the classical chemometric methods for classification and regression including Partial Least Squares Regression (PLS), Principal Component Analysis (PCA) and Discriminant Analysis with Support Vector Machine (SVM) algorithms for non-linear datasets. It features an intuitive workflow from data import to prediction, with extensive graphics in support of model analysis and interpretation. BWIQ includes preprocessing tools for optimal analysis of Raman, NIR, LIBS and other spectroscopic datasets. The BWIQ chemometrics model are used with the QTRam® . It is the ideal chemometrics package for online use with the i-Raman® series instruments for real-time prediction and offline use with high-resolution spectroscopic data.
Applications:
Exploratory Data Analysis
Multivariate Quantitative Analysis
Multivariate Classification Analysis
Real-time Prediction of New Data
Key Features
Extensive graphical display of data and results for evaluation of model performance metrics
Easy import of BWSpec®, spc, Matlab and csv data file formats
Easy-to-follow work flow and progressive software structure
Wide variety of regression and classification routines
Three sample selection/partition algorithms
Chemometric Modeling Markup Language (CMML) for easy model storage and sharing
Innovative algorithms for baseline correction (airPLS) and spectral smoothing
(Whittaker Penalized Least Squared)
Real-time prediction with i-Raman series instruments
Report function including model parameter summary