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Everything that exists in R is an object (Chambers 2016). This article examines what would be possible if we kept copies of all R objects that have ever been created. Not only objects but also their properties, meta-data, relations with other objects and information about context in which they were created. We introduce archivist, an R package designed to improve the management of results of data analysis. Key functionalities of this package include: (i) management of local and remote repositories which contain R objects and their meta-data (objects' properties and relations between them); (ii) archiving R objects to repositories; (iii) sharing and retrieving objects (and their pedigree) by their unique hooks; (iv) searching for objects with specific properties or relations to other objects; (v) verification of object's identity and context of its creation. The presented archivist package extends, in a combination with packages such as knitr and the function Sweave, the reproducible research paradigm by creating new ways to retrieve and validate previously calculated objects. These new features give a variety of opportunities such as: sharing R objects within reports or articles; adding hooks to R objects in table or figure captions; interactive exploration of object repositories; caching function calls with their results; retrieving an object's pedigree (i.e., information about how the object was created); automated tracking of the performance of considered models, restoring R packages to the state in which the object was archived.