Comparison of JMP^® and JMP^® Pro

	JMP®	JMP® Pro
Model comparison		X
Recursive partitioning (classification and regression trees)	X	X
Holdback validation using training, validation and test subsets of data		X
Boosted trees		X
Bootstrap forest, a random-forest technique		X
Logistic regression	X	X
Holdback validation using training, validation and test subsets of data		X
Neural network modeling	X	X
Holdback validation using training, validation and test subsets of data		X
Automated handling of missing data / missing value imputation		X
Automatic selection of the number of hidden units using gradient boosting		X
Fit both one- and two-layer neural nets		X
Automated transformation of input variables		X
Three activation functions (TanH, Linear and Gaussian)		X
Save randomly generated cross-validation columns		X
Save transformed covariates		X
Partial least squares (PLS) modeling	X	X
Holdback validation using training and validation subsets of data		X
PLS models with categorical factors and interactions		X
Automated handling of missing data / missing value imputation		X
Principal component analysis (PCA)	X	X
Variable clustering in PCA for predictor variable reduction prior to modeling		X
Stepwise regression	X	X
Stopping rules based on holdback validation r-square		X
Contingency (categorical) analysis	X	X
Exact measures of association		X
One-way analysis of variance (ANOVA)	X	X
Nonparametric exact tests		X
One-click bootstrapping		X