The np Package - NexTag Supports Open Source Initiatives

6 gradientsSourceprofserv column 18, of type numeric, =1 if in prof. serv. indus.profocc column 19, of type numeric, =1 if in profess. occupationclerocc column 20, of type numeric, =1 if in clerical occupationservocc column 21, of type numeric, =1 if in service occupationlwage column 22, of type numeric, log(wage)expersq column 23, of type numeric, exper 2tenursq column 24, of type numeric, tenure 2Jeffrey M. WooldridgeReferencesWooldridge, J. M. (2000), Introductory Econometrics: A Modern Approach, South-Western CollegePublishing.Examplesdata("wage1")attach(wage1)summary(wage1)detach(wage1)gradientsExtract GradientsDescriptionUsagegradients is a generic function which extracts gradients from objects.gradients(x, ...)## S3 method for class 'condensity':gradients(x, errors = FALSE, ...)## S3 method for class 'condistribution':gradients(x, errors = FALSE, ...)## S3 method for class 'npregression':gradients(x, errors = FALSE, ...)## S3 method for class 'qregression':gradients(x, errors = FALSE, ...)