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  2. Property condition assessment - Wikipedia

    en.wikipedia.org/wiki/Property_condition_assessment

    Property condition assessments (PCAs) (also known as the property condition report, or PCR) are due diligence projects associated with commercial real estate.Commercial property and building inspections are important for clients seeking to know the condition of a property or real estate they may be purchasing, leasing, financing or simply maintaining.

  3. IRS tax forms - Wikipedia

    en.wikipedia.org/wiki/IRS_tax_forms

    As of the 2018 tax year, Form 1040, U.S. Individual Income Tax Return, is the only form used for personal (individual) federal income tax returns filed with the IRS. In prior years, it had been one of three forms (1040 [the "Long Form"], 1040A [the "Short Form"] and 1040EZ – see below for explanations of each) used for such returns.

  4. File:Fractional Residual Variances comparison, PCA and NMF.pdf

    en.wikipedia.org/wiki/File:Fractional_Residual...

    Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts.

  5. Principal component regression - Wikipedia

    en.wikipedia.org/wiki/Principal_component_regression

    In statistics, principal component regression (PCR) is a regression analysis technique that is based on principal component analysis (PCA). PCR is a form of reduced rank regression. [1] More specifically, PCR is used for estimating the unknown regression coefficients in a standard linear regression model.

  6. File:IRS Form 1040, 2018.pdf - Wikipedia

    en.wikipedia.org/wiki/File:IRS_Form_1040,_2018.pdf

    Original file (1,275 × 1,650 pixels, file size: 146 KB, MIME type: application/pdf, 2 pages) This is a file from the Wikimedia Commons . Information from its description page there is shown below.

  7. Kernel principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Kernel_principal_component...

    Output after kernel PCA, with a Gaussian kernel. Note in particular that the first principal component is enough to distinguish the three different groups, which is impossible using only linear PCA, because linear PCA operates only in the given (in this case two-dimensional) space, in which these concentric point clouds are not linearly separable.

  8. Internal Revenue Manual - Wikipedia

    en.wikipedia.org/wiki/Internal_Revenue_Manual

    The IRS Internal Revenue Manual is the official source of instructions to IRS personnel relating to the organization, administration and operation of the IRS. The IRM contains directions IRS employees need to carry out their responsibilities in administering IRS obligations, such as detailed procedures for processing and examining tax returns.

  9. Robust principal component analysis - Wikipedia

    en.wikipedia.org/wiki/Robust_principal_component...

    The 2014 guaranteed algorithm for the robust PCA problem (with the input matrix being = +) is an alternating minimization type algorithm. [12] The computational complexity is (⁡) where the input is the superposition of a low-rank (of rank ) and a sparse matrix of dimension and is the desired accuracy of the recovered solution, i.e., ‖ ^ ‖ where is the true low-rank component and ^ is the ...

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