SOLO®
SOLO® has everything you could wish for to develop multivariate models, both for research and for on-line applications. It is a pleasure to work with: user-friendly enough to entice novice users, powerful enough to satisfy experts. On top, the pricing of SOLO® is beyond competition!
Features
- Data Exploration and Pattern Recognition (Principal Components Analysis (PCA), Parallel Factor Analysis (PARAFAC), Multiway PCA…)
- Classification (SIMCA, k-nearest neighbors, Partial Least Squares Discriminant Analysis (PLS-DA), Support Vector Machine Classification (SVM-DA), Artificial Neural Network Classification (ANN-DA), Boosted Regression and Classification Trees (XGBoost), Clustering (HCA)…)
- Linear and Non-Linear Regression (Partial Least Squares (PLS), Principal Components Regression (PCR), Multiple Linear Regression (MLR), Classical Least Squares (CLS), Support Vector Machine Regression (SVM), Artificial Neural Networks (ANN), Boosted Regression and Classification Trees (XGBoost), N-way PLS, Locally Weighted Regression…), Machine Learning
- Self-modeling Curve Resolution, Pure Variable Methods (Multivariate Curve Resolution (MCR), Purity (compare to SIMPLSMA), CODA_DW, CompareLCMS…)
- Curve fitting and Distribution fitting and analysis tools
- Instrument Standardization (Piece-wise Direct, Windowed Picewise, OSC, Generalized Least Squares Preprocessing, Spectral Subspace Transformation (SST)…)
- Advanced Graphical Data Set Editing and Visualization Tools
- Advanced Customizable Order-Specific Preprocessing (Centering, Scaling, Smoothing, Derivatizing, Transformations, Baselining…)
- Missing Data Support (SVD and NIPALS)
- Variable Selection (Genetic algorithms, IPLS, Selectivity, VIP…)
System requirements
MAC OSX (Intel), Linux, Windows XP, VISTA, Win7, Win8, or Win10. 250 MB of disk space and a recommended minimum of 500 MB of RAM (more may be necessary for some data) and a minimum of 16 bit color graphics are also required.
Downloads
Give it a try yourself and download a free 30-day trial !
