Title: Distance Measure Based Judgment and Learning
Description: Implements various decision support tools related to the new product development.
Subroutines include productivity evaluation using distance measures, benchmarking,
risk analysis, technology adoption model, inverse optimization, etc.

Subroutines include productivity evaluation using distance measures: DDF (directional distance function), DEA (data envelopment analysis), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.

Depends: R (>= 3.2.2), car, combinat, lpSolveAPI
Subroutines include combinatorial search (all possible subset regression), productivity evaluation using distance measures: DDF (directional distance function), DEA (data envelopment analysis), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.

Subroutines include Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), productivity evaluation using distance measures: DDF (directional distance function), DEA (data envelopment analysis), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.

Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), productivity evaluation using distance measures: DDF (directional distance function), DEA (data envelopment analysis), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.

Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, risk analysis, technology adoption model, new product target setting, etc.