ProblemType	Class	model	Package	Order
Dual Use	Generalized linear model	glm	stats	1
Dual Use	Generalized linear model	glmStepAIC	MASS	2
Dual Use	Generalized additive model	gam	mgcv	3
Dual Use	Generalized additive model	gamLoess	gam	4
Dual Use	Generalized additive model	gamSpline	gam	5
Dual Use	Recursive Partitioning	rpart	rpart	6
Dual Use	Recursive Partitioning	rpart2	rpart	7
Dual Use	Recursive Partitioning	ctree	party	8
Dual Use	Recursive Partitioning	ctree2	party	9
Dual Use	Boosted Trees	gbm	gbm	10
Dual Use	Boosted Trees	blackboost	mboost	11
Dual Use	Boosted Trees	ada	ada	12
Dual Use	Boosted Trees	bstTree	bst	13
Dual Use	Other Boosted Models	glmboost	mboost	14
Dual Use	Other Boosted Models	gamboost	mboost	15
Dual Use	Other Boosted Models	bstLs	bst	16
Dual Use	Other Boosted Models	bstSm	bst	17
Dual Use	Random Forests	rf	randomForest	18
Dual Use	Random Forests	parRF	randomForest	19
Dual Use	Random Forests	cforest	party	20
Dual Use	Random Forests	Boruta	Boruta	21
Dual Use	Bagging	treebag	ipred	22
Dual Use	Bagging	bag	caret	23
Dual Use	Bagging	logicBag	logicFS	24
Dual Use	Bagging	bagEarth	caret	25
Dual Use	Other Trees	nodeHarvest	nodeHarvest	26
Dual Use	Other Trees	partDSA	partDSA	27
Dual Use	Multivariate Adaptive Regression Spline	earth	earth	28
Dual Use	Multivariate Adaptive Regression Spline	gcvEarth	earth	29
Dual Use	Logic Regression	logreg	LogicReg	30
Dual Use	Elastic Net	glmnet	glmnet	31
Dual Use	Neural Networks	nnet	nnet	32
Dual Use	Neural Networks	pcaNNet	caret	33
Dual Use	Neural Networks	avNNet	caret	34
Dual Use	Partial Least Squares	pls	pls	35
Dual Use	Partial Least Squares	simpls	pls	36
Dual Use	Partial Least Squares	widekernelpls	pls	37
Dual Use	Sparse Partial Least Squares	spls	spls	38
Dual Use	Support Vector Machines	svmLinear	kernlab	39
Dual Use	Support Vector Machines	svmRadial	kernlab	40
Dual Use	Support Vector Machines	svmRadialCost	kernlab	41
Dual Use	Support Vector Machines	svmPoly	kernlab	42
Dual Use	Gaussian Processes	gaussprLinear	kernlab	43
Dual Use	Gaussian Processes	gaussprRadial	kernlab	44
Dual Use	Gaussian Processes	gaussprPoly	kernlab	45
Dual Use	K Nearest Neighbor	knn	caret	46
Dual Use	Self-Organizing Maps	xyf	kohonen	47
Dual Use	Self-Organizing Maps	bdk	kohonen	48
Regression Only	Linear Least Squares	lm	stats	49
Regression Only	Linear Least Squares	lmStepAIC	MASS	50
Regression Only	Linear Least Squares	leapForward	leaps	51
Regression Only	Linear Least Squares	leapBackward	leaps	52
Regression Only	Linear Least Squares	leapSeq	leaps	53
Regression Only	Principal Component Regression	pcr	pls	54
Regression Only	Independent Component Regression	icr	caret	55
Regression Only	Robust Linear Regression	rlm	MASS	56
Regression Only	Neural Networks	neuralnet	neuralnet	57
Regression Only	Quantile Regression Forests	qrf	quantregForest	58
Regression Only	Quantile Regression Neural Networks	qrnn	qrnn	59
Regression Only	Rule--Based Models	M5Rules	RWeka	60
Regression Only	Rule--Based Models	M5	RWeka	61
Regression Only	Rule--Based Models	cubist	Cubist	62
Regression Only	Projection Pursuit Regression	ppr	stats	63
Regression Only	Penalized Linear Models	penalized	penalized	64
Regression Only	Penalized Linear Models	ridge	elasticnet	65
Regression Only	Penalized Linear Models	lars	lars	66
Regression Only	Penalized Linear Models	lars2	lars	67
Regression Only	Penalized Linear Models	enet	elasticnet	68
Regression Only	Penalized Linear Models	lasso	elasticnet	69
Regression Only	Penalized Linear Models	foba	foba	70
Regression Only	Relevance Vector Machines	rvmLinear	kernlab	71
Regression Only	Relevance Vector Machines	rvmRadial	kernlab	72
Regression Only	Relevance Vector Machines	rvmPoly	kernlab	73
Regression Only	Supervised Principal Components	superpc	superpc	74
Classification Only	Linear Discriminant Analysis	lda	MASS	75
Classification Only	Linear Discriminant Analysis	Linda	rrcov	76
Classification Only	Quadratic Discriminant Analysis	qda	MASS	77
Classification Only	Quadratic Discriminant Analysis	QdaCov	rrcov	78
Classification Only	Stabilized Linear Discriminant Analysis	slda	ipred	79
Classification Only	Heteroscedastic Discriminant Analysis	hda	hda	80
Classification Only	Shrinkage Linear Discriminant Analysis	sda	sda	81
Classification Only	Sparse Linear Discriminant Analysis	sparseLDA	sparseLDA	82
Classification Only	Sparse Linear Discriminant Analysis	PenalizedLDA	penalizedLDA	83
Classification Only	Stepwise Discriminant	stepLDA	klaR	84
Classification Only	Stepwise Diagonal Discriminant Analysis	sddaLDA	SDDA	85
Classification Only	Stepwise Diagonal Discriminant Analysis	sddaQDA	SDDA	86
Classification Only	Regularized Discriminant Analysis	rda	klaR	87
Classification Only	Mixture Discriminant Analysis	mda	mda	88
Classification Only	Sparse Mixture Discriminant Analysis	smda	sparseLDA	89
Classification Only	Penalized Discriminant Analysis	pda	mda	90
Classification Only	Penalized Discriminant Analysis	pda2	mda	91
Classification Only	High Dimensional Discriminant Analysis	hdda	HDclassif	92
Classification Only	Flexible Discriminant Analysis (MARS basis)	fda	mda	93
Classification Only	Robust Regularized Linear Discriminant Analysis	rrlda	rrlda	94
Classification Only	Bagging	bagFDA	caret	95
Classification Only	Logistic/Multinomial Regression	multinom	nnet	96
Classification Only	Logistic/Multinomial Regression	plr	stepPlr	97
Classification Only	LogitBoost	logitBoost	caTools	98
Classification Only	Logistic Model Trees	LMT	RWeka	99
Classification Only	Rule-Based Models	J48	RWeka	100
Classification Only	Rule-Based Models	OneR	RWeka	101
Classification Only	Rule-Based Models	PART	RWeka	102
Classification Only	Rule-Based Models	JRip	RWeka	103
Classification Only	Random Ferns	rFerns	rFerns	104
Classification Only	Logic Forests	logforest	LogForest	105
Classification Only	Bayesian Multinomial Probit Model 	vbmpRadial	vbmp	106
Classification Only	Least Squares Support Vector Machines	lssvmRadial	kernlab	107
Classification Only	Nearest Shrunken Centroids	pam	pamr	108
Classification Only	Nearest Shrunken Centroids	scrda	rda	109
Classification Only	Naive Bayes	nb	klaR	110
Classification Only	Generalized Partial Least Squares	gpls	gpls	111
Classification Only	Learned Vector  Quantization	lvq	class	112
Classification Only	ROC Curves	rocc	rocc	113